Epidemiology and Medical statistics Books

Book SynopsisWinner of the 2017 Jabuti Book Prize The Zika virus is devastating lives and communities. Children across the Americas are being born with severe disabilities because of it. Yet during the desolating outbreak, Brazil played host to both the Olympics and the FIFA World Cup, leading many to suspect that the true impact of the virus has been subject to a cover-up of international proportions. Beginning in the northeast, where the devastation has been most felt, professor of bioethics and award-winning documentary filmmaker Debora Diniz travels across Brazil tracing the virus’s origin and spread. Along the journey she meets a host of fearless families, doctors and scientists uncovering the virus’s impact on local communities. In doing so Diniz paints a vivid picture of the Zika epidemic, exposing the Brazilian government’s complicity in allowing the virus to spread while championing the efforts of local doctors and mothers who, working together, are raising awareness of the virus and fighting for the rights of children affected by Zika.Trade ReviewCaptivating … the reader is moved through the interviews on a page-turning, well written, and carefully constructed narrative arch. Nevertheless, the book’s greatest strength is that it is based on scientifically sound and well conducted ethnographic research. * The Lancet *Ingeniously crafted and affectingly narrated, Zika is a momentous contribution to the critical study of science and global health. * João Biehl, Princeton University *A masterfully researched and wide-ranging narrative of Zika in Brazil. Unforgettable. * Kearsley Stewart, Duke University *A compassionate and inclusive look at the impact of the Zika epidemic: from the mothers of affected babies to the race for an effective treatment. * Laura Rodrigues, London School of Hygiene & Tropical Medicine *Diniz illustrates the devastating effects that Zika’s spread has had on impoverished women, and how government scientists and policy makers failed to live up to their responsibilities toward those affected. A brilliant read, highly recommended! * Udo Schuklenk, Queen’s University, Canada *Table of ContentsTranslator’s Note Principle Characters Timeline Map 1. Telling the Story 2. Positive for Zika Where it All Began Deciphering an Allergy Epidemic A Mysterious Illness Strikes Bahia 3. The First Generation of Women The Foreigner The Northeasterners 4. Footprints of the Virus The Paralyzing Syndrome The Neuropediatricians from Recife The Doctor from Rural Paraíba 5. Patient Zero 6. The Aftermath 7. Implications for Women Worldwide

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Book SynopsisThis book provides an extensive overview of the principles and methods of sample size calculation and recalculation in clinical trials. Appropriate calculation of the required sample size is crucial for the success of clinical trials. At the same time, a sample size that is too small or too large is problematic due to ethical, scientific, and economic reasons. Therefore, state-of-the art methods are required when planning clinical trials. Part I describes a general framework for deriving sample size calculation procedures. This enables an understanding of the common principles underlying the numerous methods presented in the following chapters. Part II addresses the fixed sample size design, where the required sample size is determined in the planning stage and is not changed afterwards. It covers sample size calculation methods for superiority, non-inferiority, and equivalence trials, as well as comparisons between two and more than two groups. A wide range of further topics is discussed, including sample size calculation for multiple comparisons, safety assessment, and multi-regional trials. There is often some uncertainty about the assumptions to be made when calculating the sample size upfront. Part III presents methods that allow to modify the initially specified sample size based on new information that becomes available during the ongoing trial. Blinded sample size recalculation procedures for internal pilot study designs are considered, as well as methods for sample size reassessment in adaptive designs that use unblinded data from interim analyses. The application is illustrated using numerous clinical trial examples, and software code implementing the methods is provided. The book offers theoretical background and practical advice for biostatisticians and clinicians from the pharmaceutical industry and academia who are involved in clinical trials. Covering basic as well as more advanced and recently developed methods, it is suitable for beginners, experienced applied statisticians, and practitioners. To gain maximum benefit, readers should be familiar with introductory statistics. The content of this book has been successfully used for courses on the topic.Trade Review“The R source code is shown by chapter, well-documented, and easy to find and follow as brief descriptions and necessary specifications for the function calls are given by means of comments. … a wide area of application fields is covered and exhaustive literature references for further reading are given. … The presentation of the material is very reader-friendly, easily accessible and pedagogical … . It is likewise highly recommended … . This is an effective and nicely written reference textbook.” (Oke Gerke, ISCB News, iscb.info, Vol. 72, December, 2021)Table of ContentsPart I Basics 1 Introduction 1.1 Background and outline 1.2 Examples 1.2.1 The ChroPac trial 1.2.2 The Parkinson trial 1.3 General considerations when calculating sample sizes 2 Statistical test and sample size calculation 2.1 The main principle of statistical testing 2.2 The main principle of sample size calculation Part II Sample size calculation 3 Comparison of two groups for normally distributed outcomes and test for difference or superiority 3.1 Background and notation 3.2 z-test 3.3 t-test 3.4 Analysis of covariance 3.5 Bayesian approach 3.5.1 Background 3.5.2 Methods 4 Comparison of two groups for continuous and ordered categorical outcomes and test for difference or superiority 4.1 Background and notation 4.2 Continuous outcomes 4.3 Ordered categorical outcomes 4.3.1 Assumption-free approach 4.3.2 Assuming proportional odds 5 Comparison of two groups for binary outcomes and test for difference and superiority 5.1 Background and notation 5.2 Asymptotic tests 5.2.1 Difference of rates as effect measure 5.2.2 Risk ratio as effect measure 5.2.3 Odds ratio as effect measure 5.2.4 Logistic regression 5.3 Exact unconditional tests 5.3.1 Background 5.3.2 Fisher-Boschloo test 6 Comparison of two groups for time-to-event outcomes and test for differences or superiority 6.1 Background and notation 6.1.1 Time-to-event data 6.1.2 Sample size calculation for time-to-event data 6.2 Exponentially distributed time-to-event data 6.3 Time-to-event data with proportional hazards 6.3.1 Approach of Schoenfeld 6.3.2 Approach of Freedman 7 Comparison of more than two groups and test for difference 7.1 Background and notation 7.2 Normally distributed outcomes 7.3 Continuous outcomes 7.4 Binary outcomes 7.4.1 Analysis with chi-square test 7.4.2 Analysis with Cochran-Armitage test 7.5 Time-to-event outcomes 8 Comparison of two groups and test for non-inferiority 8.1 Background and notation 8.2 Normally distributed outcomes 8.2.1 Difference of means 8.2.2 Ratio of means 8.3 Continuous and ordered categorical outcomes 8.4 Binary outcomes 8.4.1 Analysis with asymptotic tests 8.4.1.1 Difference of rates as effect measure 8.4.1.2 Risk ratio as effect measure 8.4.1.3 Odds ratio as effect measure 8.4.2 Exact unconditional tests 8.4.2.1 Background 8.4.2.2 Difference of rates as effect measure 8.4.2.3 Risk ratio as effect measure 8.4.2.4 Odds ratio as effect measure 8.5 Time-to-event outcomes 9 Comparison of three groups in the gold standard non-inferiority design 9.1 Background and notation 9.2 Net effect approach 9.3 Fraction effect approach 10 Comparison of two groups for normally distributed outcomes and test for equivalence 10.1 Background and notation 10.2 Difference of means 10.3 Ratio of means 11 Multiple comparisons 11.1 Background and notation 11.2 Generally applicable sample size calculation methods and applications 11.2.1 Methods 11.2.2 Applications 11.3 Multiple endpoints 11.3.1 Background and notation 11.3.2 Methods 11.4 More than two groups 11.4.1 Background and notation 11.4.2 Dunnett test 12 Assessment of safety 12.1 Background and notation 12.2 Testing hypotheses on the event probability 12.3 Estimating the occurrence probability of an event with specified precision 12.4 Observing at least one event 13 Cluster-randomized trials 13.1 Background and notation 13.2 Normally distributed outcomes 13.2.1 Cluster-level analysis 13.2.2 Individual-level analysis 13.2.3 Dealing with unequal cluster size 13.3 Other scale levels of the outcome 14 Multi-regional trials 14.1 Background and notation 14.2 Sample size calculation for demonstrating consistency of global results and results for a specified region 14.3 Sample size calculation for demonstrating a consistent trend across all regions 15 Integrated planning of phase II/III drug development programs 15.1 Background and notation 15.2 Optimizing phase II/III programs 16 Simulation-based sample size calculation Part III Sample size recalculation 17 Background Part IIIA Blinded sample size recalculation in internal pilot study designs 18 Background and notation 19 A general approach for controlling the type I error rate for blinded sample size recalculation 20 Comparison of two groups for normally distributed outcomes and test for difference or superiority 20.1 t-Test 20.1.1 Background and notation 20.1.2 Blinded variance estimation 20.1.3 Type I error rate 20.1.4 Power and sample size 20.2 Analysis of covariance 20.2.1 Background and notation 20.2.2 Blinded variance estimation 20.2.3 Type I error rate 20.2.4 Power and sample size 21 Comparison of two groups for binary outcomes and test for difference or superiority 21.1 Background and notation 21.2 Asymptotic tests 21.2.1 Difference of rates as effect measure 21.2.2 Risk ratio and odds ratio as effect measure 21.3 Fisher-Boschloo test 22 Comparison of two groups for normally distributed outcomes and test for non-inferiority 22.1 t-Test 22.1.1 Background and notation 22.1.2 Blinded variance estimation 22.1.3 Type I error rate 22.1.4 Power and sample size 22.2 Analysis of covariance 23 Comparison of two groups for binary outcomes and test for non-inferiority 23.1 Background and notation 23.2 Difference of rates as effect measure 23.3 Risk ratio and odds ratio as effect measure 24 Comparison of two groups for normally distributed outcomes and test for equivalence 25 Regulatory and operational aspects 26 Concluding remarks Part IIIB Unblinded sample size recalculation in adaptive designs 27 Background and notation 27.1 Group-sequential designs 27.2 Adaptive designs 27.2.1 Combination function approach 27.2.2 Conditional error function approach 28 Sample size recalculation based on conditional power 28.1 Background and notation 28.2 Using the interim estimate of the effect 28.3 Using the initially specified effect 28.4 Using prior information as well as the interim effect estimate 29 Sample size recalculation by optimization 30 Regulatory and operational aspects 31 Concluding remarks Appendix: Selected R software code References

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Book SynopsisThis biography of Dr. Denis Parsons Burkitt, after whom the childhood cancer Burkitt's lymphoma was named, and who was a pioneer of the dietary fiber movement, paints a personal but holistic portrait of both the man and his life's work. Featuring excerpts from Dr. Burkitt's personal diaries, spanning seven decades from his boyhood to just before his passing, and extensive family archives, this book invites readers to follow Burkitt's journey through life and experience his tribulations and successes. Prof. John Cummings was a colleague of Dr. Burkitt and weaves the tale of his life through the lens of family, faith, and science. The journey takes Burkitt from his childhood in Ireland, a country undergoing major social upheaval, through his medical studies in Dublin, to army service in Africa in the midst of WWII and the independence movements that swept the continent in the following years. During his two decades spent in Uganda, working for the Colonial Medical Service, Burkitt made his first major contribution to cancer research - the characterization of Burkitt's lymphoma and its possible viral cause. Following his return to England in 1966, he turned his attention to the cause of ‘Western Diseases’ especially the role of dietary fibre in the prevention of disease and promotion of health. This earned him even wider international recognition and helped to inspire what is a vital field of research today. The book examines Burkitt's personal views of the world around him, including his experiences as a committed evangelical Christian who had been raised an Irish Protestant, and the challenges, both familial and cultural, that this elicited from and towards him and his scientific work. The lymphoma and later the fibre story propelled Denis into an orbit of worldwide travel, fame and many honours. An engaging speaker but man of great humility, always giving the credit for much of what he did to others, he left a legacy of evidence and ideas for the causes of cancer and prevention of disease from which we all now benefit. Table of ContentsDedicationAbbreviationsPreface1. For God, the world and the robin.2. Formative years3. Trinity College Dublin; a new direction4. Learning to be a doctor with a faith5. War changes everything6. Doubts and frustrations 1944-19467. Lira. The start of a great journey8. Mulago 1948 – 1956; A busy surgeon.9. Jaw Tumours, Kilimanjaro and looking down at the world10. It's a Lymphoma11. Establishing ownership of the Lymphoma12. The long safari13. Into orbit14. A cure for Burkitt's Lymphoma15. America16. A virus causing cancer?17. Out of Africa18. 'Time and chance happen to all men'19. In transition to a new theory. 20. A 'flash of understanding'21. The gospel according to Burkitt22. Fibre launched but is controversial.23. ‘Character is more important than cleverness.’24. Man-made Diseases25. Preparing for departureAppendix 1. Curriculum vitae. Appendix 2. Timeline; the life of Denis Parsons Burkitt. Appendix 3. Publications of Burkitt DP. Part 1. Books written or edited by DPB. Part 2. Original papers in scientific journals, chapters in books, symposium proceedings and letters of substance. Part 3. Other writing. Appendix 4. Books and papers about Denis Burkitt and his work, biographical memoires, tributes, principal obituaries. Part 1. Books. Part 2. Papers in medical and scientific journals/chapters in books Part 3. Biographical memoires Part 4. Tributes and other articles Part 5. Principal Obituaries

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Book SynopsisChallenging the accepted methodologies of epidemiology and international health, this book points out that most explanatory strategies, from 'cost-effectiveness' to patient 'noncompliance,' inevitably lead to blaming the victims.Trade Review"The only things that distinguish Farmer's account from a Dostoevskian novel is a meed of hard, effective science and a depressingly familiar story of the powerfully malignant of racism.... It is hard to think of more compelling examples to underpin his arguments. It makes the book and its message accessible to the general reader and forcefully reminds doctors, nurses, scientists, sociologists, economists and aid workers of their unfinished business.... But the main lessons he draws are for us all. We must do all we can to diminish social inequality." - Hugh Pennington, Times Higher Education Supplement "A strangely uplifting read. Infections and Inequalities is a powerful and rigorously argued critique of economic and health care inequality." - Phil Whitaker, The Guardian (UK) "Bolstered by thorough knowledge of the countries in which he practiced, relevant and cogent case histories, and a caring but disciplined attitude, Farmer powerfully argues for substantial changes in epidemiological theory and practice. He raises thought-provoking and necessary questions, and he provides answers that, if often unsettling, are pertinent and capable of being put to use by individuals and governments truly interested in solving, not sidestepping, life-threatening situations." - William Beatty, Booklist"Table of ContentsPreface to the Paperback Edition Acknowledgments Introduction 1. The Vitality of Practice: On Personal Trajectories 2. Rethinking "Emerging Infectious Diseases" 3. Invisible Women: Class, Gender, and HIV 4. The Exotic and the Mundane: Human Immunodeficiency Vrrus in the Caribbean 5. Culture, Poverty, and ffiV Transmission: The Case of Rural Haiti Miracles and Misery: An Ethnographic Interlude 6. Sending Sickness: Sorcery, Politics, and Changing Concepts of AIDS in Rural Haiti 7. The Consumption of the Poor: Tuberculosis .in the Late Twentieth Century 8. Optimism and Pessimism in Tuberculosis Control: Lessons from Rural Haiti 9. Immodest Claims of Causality: Social Scientists and the "New" Tuberculosis 10. The Persistent Plagues: Biological Expressions of Social Inequalities Notes References Index

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Book SynopsisPlagues and pandemics are a part of global history, from the biblical “plague of locusts” to today’s COVID-19 pandemic. Dealing with unchecked diseases and disasters has given rise to great human suffering and loss of life, but it has also played a significant role in shaping our societies. Advances in public health, medicine, scientific research, and even the arts have often been inspired by or required of those who have survived. This two-volume set includes content on the Black Death , smallpox, the plague, malaria, typhoid, polio, SARS, AIDS, Covid-19 and others.

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Book SynopsisCluster analysis finds groups in data automatically. Most methods have been heuristic and leave open such central questions as: how many clusters are there? Which method should I use? How should I handle outliers? Classification assigns new observations to groups given previously classified observations, and also has open questions about parameter tuning, robustness and uncertainty assessment. This book frames cluster analysis and classification in terms of statistical models, thus yielding principled estimation, testing and prediction methods, and sound answers to the central questions. It builds the basic ideas in an accessible but rigorous way, with extensive data examples and R code; describes modern approaches to high-dimensional data and networks; and explains such recent advances as Bayesian regularization, non-Gaussian model-based clustering, cluster merging, variable selection, semi-supervised and robust classification, clustering of functional data, text and images, and co-clTrade Review'Bouveyron, Celeux, Murphy, and Raftery pioneered the theory, computation, and application of modern model-based clustering and discriminant analysis. Here they have produced an exhaustive yet accessible text, covering both the field's state of the art as well as its intellectual development. The authors develop a unified vision of cluster analysis, rooted in the theory and computation of mixture models. Embedded R code points the way for applied readers, while graphical displays develop intuition about both model construction and the critical but often-neglected estimation process. Building on a series of running examples, the authors gradually and methodically extend their core insights into a variety of exciting data structures, including networks and functional data. This text will serve as a backbone for graduate study as well as an important reference for applied data scientists interested in working with cutting-edge tools in semi- and unsupervised machine learning.' John S. Ahlquist, University of California, San Diego'This book, written by authoritative experts in the field, gives a comprehensive and thorough introduction to model-based clustering and classification. The authors not only explain the statistical theory and methods, but also provide hands-on applications illustrating their use with the open-source statistical software R. The book also covers recent advances made for specific data structures (e.g. network data) or modeling strategies (e.g. variable selection techniques), making it a fantastic resource as an overview of the state of the field today.' Bettina Grün, Johannes Kepler Universität Linz, Austria'Four authors with diverse strengths nicely integrate their specialties to illustrate how clustering and classification methods are implemented in a wide selection of real-world applications. Their inclusion of how to use available software is an added benefit for students. The book covers foundations, challenging aspects, and some essential details of applications of clustering and classification. It is a fun and informative read!' Naisyin Wang, University of Michigan'This is a beautifully written book on a topic of fundamental importance in modern statistical science, by some of the leading researchers in the field. It is particularly effective in being an applied presentation - the reader will learn how to work with real data and at the same time clearly presenting the underlying statistical thinking. Fundamental statistical issues like model and variable selection are clearly covered as well as crucial issues in applied work such as outliers and ordinal data. The R code and graphics are particularly effective. The R code is there so you know how to do things, but it is presented in a way that does not disrupt the underlying narrative. This is not easy to do. The graphics are 'sophisticatedly simple' in that they convey complex messages without being too complex. For me, this is a 'must have' book.' Rob McCulloch, Arizona State University'This advanced text explains the underlying concepts clearly and is strong on theory … I congratulate the authors on the theoretical aspects of their book, it's a fine achievement.' Antony Unwin, International Statistical Review'In my opinion, the overall quality of this impactful and intriguing book can be expressed by concluding that it is a perfect fit to the Cambridge Series in Statistical and Probabilistic Mathematics, characterized as a series of high-quality upper-division textbooks and expository monographs containing applications and discussions of new techniques while emphasizing rigorous treatment of theoretical methods.' Zdenek Hlavka, MathSciNet'… this book not only gives the big picture of the analysis of clustering and classification but also explains recent methodological advances. Extensive real-world data examples and R code for many methods are also well summarized. This book is highly recommended to students in data science, as well as researchers and data analysts.' Li-Pang Chen, Biometrical Journal'Model-Based Clustering and Classification for Data Science: With Applications in R, written by leading statisticians in the field, provides academics and practitioners with a solid theoretical and practical foundation on the use of model-based clustering methods … this book will serve as an excellent resource for quantitative practitioners and theoreticians seeking to learn the current state of the field.' C. M. Foley, Quarterly Review of Biology'This book frames cluster analysis and classification in terms of statistical models, thus yielding principled estimation, testing and prediction methods, and sound answers to the central questions … Written for advanced undergraduates in data science, as well as researchers and practitioners, it assumes basic knowledge of multivariate calculus, linear algebra, probability and statistics.' Hans-Jürgen Schmidt, zbMATHTable of Contents1. Introduction; 2. Model-based clustering: basic ideas; 3. Dealing with difficulties; 4. Model-based classification; 5. Semi-supervised clustering and classification; 6. Discrete data clustering; 7. Variable selection; 8. High-dimensional data; 9. Non-Gaussian model-based clustering; 10. Network data; 11. Model-based clustering with covariates; 12. Other topics; List of R packages; Bibliography; Index.

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Book SynopsisComputing power has revolutionized the theory and practice of statistical inference. This book delivers a concentrated course in modern statistical thinking by tracking the revolution from classical theories to the large-scale prediction algorithms of today. Anyone who applies statistical methods to data will benefit from this landmark text.Trade Review'How and why is computational statistics taking over the world? In this serious work of synthesis that is also fun to read, Efron and Hastie, two pioneers in the integration of parametric and nonparametric statistical ideas, give their take on the unreasonable effectiveness of statistics and machine learning in the context of a series of clear, historically informed examples.' Andrew Gelman, Columbia University, New York'This unusual book describes the nature of statistics by displaying multiple examples of the way the field has evolved over the past sixty years, as it has adapted to the rapid increase in available computing power. The authors' perspective is summarized nicely when they say, 'very roughly speaking, algorithms are what statisticians do, while inference says why they do them'. The book explains this 'why'; that is, it explains the purpose and progress of statistical research through a close look at many major methods, methods the authors themselves have advanced and studied at great length. Both enjoyable and enlightening, Computer Age Statistical Inference is written especially for those who want to hear the big ideas, and see them instantiated through the essential mathematics that defines statistical analysis. It makes a great supplement to the traditional curricula for beginning graduate students.' Rob Kass, Carnegie Mellon University, Pennsylvania'This is a terrific book. It gives a clear, accessible, and entertaining account of the interplay between theory and methodological development that has driven statistics in the computer age. The authors succeed brilliantly in locating contemporary algorithmic methodologies for analysis of 'big data' within the framework of established statistical theory.' Alastair Young, Imperial College London'This is a guided tour of modern statistics that emphasizes the conceptual and computational advances of the last century. Authored by two masters of the field, it offers just the right mix of mathematical analysis and insightful commentary.' Hal Varian, Google'Efron and Hastie guide us through the maze of breakthrough statistical methodologies following the computing evolution: why they were developed, their properties, and how they are used. Highlighting their origins, the book helps us understand each method's roles in inference and/or prediction. The inference-prediction distinction maintained throughout the book is a welcome and important novelty in the landscape of statistics books.' Galit Shmueli, National Tsing Hua University'A masterful guide to how the inferential bases of classical statistics can provide a principled disciplinary frame for the data science of the twenty-first century.' Stephen Stigler, University of Chicago, and author of Seven Pillars of Statistical Wisdom'Computer Age Statistical Inference offers a refreshing view of modern statistics. Algorithmics are put on equal footing with intuition, properties, and the abstract arguments behind them. The methods covered are indispensable to practicing statistical analysts in today's big data and big computing landscape.' Robert Gramacy, University of Chicago Booth School of Business'Every aspiring data scientist should carefully study this book, use it as a reference, and carry it with them everywhere. The presentation through the two-and-a-half-century history of statistical inference provides insight into the development of the discipline, putting data science in its historical place.' Mark Girolami, Imperial College London'Efron and Hastie are two immensely talented and accomplished scholars who have managed to brilliantly weave the fiber of 250 years of statistical inference into the more recent historical mechanization of computing. This book provides the reader with a mid-level overview of the last 60-some years by detailing the nuances of a statistical community that, historically, has been self-segregated into camps of Bayes, frequentist, and Fisher yet in more recent years has been unified by advances in computing. What is left to be explored is the emergence of, and role that, big data theory will have in bridging the gap between data science and statistical methodology. Whatever the outcome, the authors provide a vision of high-speed computing having tremendous potential to enable the contributions of statistical inference toward methodologies that address both global and societal issues.' Rebecca Doerge, Carnegie Mellon University, Pennsylvania'In this book, two masters of modern statistics give an insightful tour of the intertwined worlds of statistics and computation. Through a series of important topics, Efron and Hastie illuminate how modern methods for predicting and understanding data are rooted in both statistical and computational thinking. They show how the rise of computational power has transformed traditional methods and questions, and how it has pointed us to new ways of thinking about statistics.' David Blei, Columbia University, New York'Absolutely brilliant. This beautifully written compendium reviews many big statistical ideas, including the authors' own. A must for anyone engaged creatively in statistics and the data sciences, for repeated use. Efron and Hastie demonstrate the ever-growing power of statistical reasoning, past, present, and future.' Carl Morris, Harvard University, Massachusetts'Computer Age Statistical Inference gives a lucid guide to modern statistical inference for estimation, hypothesis testing, and prediction. The book seamlessly integrates statistical thinking with computational thinking, while covering a broad range of powerful algorithms for learning from data. It is extraordinarily rare and valuable to have such a unified treatment of classical (and classic) statistical ideas and recent 'big data' and machine learning ideas. Accessible real-world examples and insightful remarks can be found throughout the book.' Joseph K. Blitzstein, Harvard University, Massachusetts'Among other things, it is an attempt to characterize the current state of statistics by identifying important tools in the context of their historical development. It also offers an enlightening series of illustrations of the interplay between computation and inference … This is an attractive book that invites browsing by anyone interested in statistics and its future directions.' Bill Satzer, Mathematical Association of America Reviews'My take on Computer Age Statistical Inference is that experienced statisticians will find it helpful to have such a compact summary of twentieth-century statistics, even if they occasionally disagree with the book's emphasis; students beginning the study of statistics will value the book as a guide to statistical inference that may offset the dangerously mind-numbing experience offered by most introductory statistics textbooks; and the rest of us non-experts interested in the details will enjoy hundreds of hours of pleasurable reading.' Joseph Rickert, RStudio (www.rstudio.com)'Efron and Hastie (both, Stanford Univ.) have superbly crafted a central text/reference book that presents a broad overview of modern statistics. The work examines major developments in computation from the late-20th and early-21st centuries, ranging from electronic computations to 'big data' analysis. Focusing primarily on the last six decades, the text thoroughly documents the progression within the discipline of statistics … This text is highly recommended for graduate libraries.' D. J. Gougeon, ChoiceTable of ContentsPart I. Classic Statistical Inference: 1. Algorithms and inference; 2. Frequentist inference; 3. Bayesian inference; 4. Fisherian inference and maximum likelihood estimation; 5. Parametric models and exponential families; Part II. Early Computer-Age Methods: 6. Empirical Bayes; 7. James–Stein estimation and ridge regression; 8. Generalized linear models and regression trees; 9. Survival analysis and the EM algorithm; 10. The jackknife and the bootstrap; 11. Bootstrap confidence intervals; 12. Cross-validation and Cp estimates of prediction error; 13. Objective Bayes inference and Markov chain Monte Carlo; 14. Statistical inference and methodology in the postwar era; Part III. Twenty-First Century Topics: 15. Large-scale hypothesis testing and false discovery rates; 16. Sparse modeling and the lasso; 17. Random forests and boosting; 18. Neural networks and deep learning; 19. Support-vector machines and kernel methods; 20. Inference after model selection; 21. Empirical Bayes estimation strategies; Epilogue; References; Index.

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Book SynopsisDesigned to support the best-selling third edition of Medical Statistics at a Glance, this comprehensive workbook contains a variety of self-assessment methods allowing readers to test their statistical knowledge, put it into practice, and apply it to a medical context and when reading published literature.Trade ReviewGreat workbook that compliments the respective textbook. Excercises are practical, short to the point. Good book of helping to understand the underlying concepts. (Anthony Murray, Faculty of Health & Science, University of Cumbria)Table of ContentsIntroduction 6 Part 1: Multiple-choice questions 8 Handling data 8 Sampling and estimation 10 Study design 11 Hypothesis testing 13 Basic techniques for analysing data 13 Additional techniques 20 Part 2: Structured questions 24 Part 3: Critical appraisal 44 Randomised controlled trial: template 44 Randomised controlled trial: Paper 1 46 Observational study: template 51 Observational study: Paper 2 53 Part 4: Data analysis 61 Dataset 1 analysed by Stata v11 (StataCorp LP, Texas, USA) 61 Dataset 2 analysed using IBM SPSS Statistics v20 70 Part 5: Solutions 76 Solutions to multiple-choice questions 76 Model answers for structured questions 93 Randomised controlled trial: critical appraisal of Paper 1 109 Observational study: critical appraisal of Paper 2 113 Appendices 117 Appendix I: list of multiple-choice questions with relevant chapter numbers from Medical Statistics at a Glance (3rd edn) and associated topics 117 Appendix II: list of structured questions with relevant chapter numbers from Medical Statistics at a Glance (3rd edn) and associated topics 119 Appendix III: chapter numbers from Medical Statistics at a Glance (3rd edn) with relevant multiple-choice questions and structured questions 120

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Book SynopsisThis book provides an up-to-date, comprehensive, clinically oriented account of the molecular biology, pathogenesis, clinical features, diagnosis and management of human bacterial diseases, as well as their control and prevention.Trade Review"...this book is written well..." (Statistics in Medical Research, Vol.12, No. 2, 2003)Table of ContentsThe Scope of Survival Analysis. Randomized Clinical Trials: General Principles and Some Controversial Issues. Estimation of Survival Probabilities. Non-Parametric Methods for the Comparison of Survival Curves. Distribution Functions for Failure Time T . The Cox Regression Model. Validation of the Proportional Hazards Models. Parametric Regression Models. The Study of Prognostic Factors and the Assessment of Treatment Effect. Competing Risks. Meta-Analysis. References. Indexes.

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Book SynopsisFay and Brittain present statistical hypothesis testing and compatible confidence intervals, focusing on application and proper interpretation. The emphasis is on equipping applied statisticians with enough tools - and advice on choosing among them - to find reasonable methods for almost any problem and enough theory to tackle new problems by modifying existing methods. After covering the basic mathematical theory and scientific principles, tests and confidence intervals are developed for specific types of data. Essential methods for applications are covered, such as general procedures for creating tests (e.g., likelihood ratio, bootstrap, permutation, testing from models), adjustments for multiple testing, clustering, stratification, causality, censoring, missing data, group sequential tests, and non-inferiority tests. New methods developed by the authors are included throughout, such as melded confidence intervals for comparing two samples and confidence intervals associated with WilTrade Review'A necessary book for the applied statistician seeking to understand the theoretical underpinnings of statistical methods and for graduate students knowledgeable about statistical theory but lacking experience in application. The book is chock full of challenging examples that point to the complexities of choice of method. A particularly valuable feature of the book is the authors' description of competing methods coupled with their clarity in explaining and justifying why they prefer one method over others. Fay and Brittain should sit on every statistician's bookshelf.' Janet Wittes, WCG Statistics Collaborative'Good statistical hypothesis testing and confidence interval construction involves mathematical aspects of finding a good test given a probability model and scientific aspects of determining the appropriateness of a probability model for answering a scientific question. This book provides a lucid discussion of both these mathematical and scientific aspects with compelling scientific examples. I most highly recommend this book.' Dylan Small, University of Pennsylvania'Congratulations to Fay and Brittain for this wonderful reference book that does what its somewhat unusual title suggests: puts hypothesis testing in the context of science. The vast coverage of topics, extensive bibliography and notes, and easy to understand explanations make 'Statistical Hypothesis Testing in Context: Reproducibility, Inference, and Science' an indispensable tool in the arsenal of any applied or theoretical statistician or biostatistician. I enthusiastically recommend buying the book!' Michael A. Proschan, National Institute of Allergy and Infectious DiseasesTable of Contents1. Introduction; 2. Theory of tests, p-values, and confidence intervals; 3. From scientific theory to statistical hypothesis test; 4. One sample studies with binary responses; 5. One sample studies with ordinal or numeric responses; 6. Paired data; 7. Two sample studies with binary responses; 8. Assumptions and hypothesis tests; 9. Two sample studies with ordinal or numeric responses; 10. General methods for creating decision rules; 11. K-Sample studies and trend tests; 12. Clustering and stratification; 13. Multiplicity in testing; 14. Testing from models; 15. Causality; 16. Censoring; 17. Missing data; 18. Group sequential and related adaptive methods; 19. Testing fit, equivalence, and non-inferiority; 20. Power and sample size.

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Book SynopsisIn 2014, a 28-year old British doctor found himself co-running the Ebola isolation unit in Sierra Leone’s main hospital after the doctor in charge had been killed by the virus. Completely overwhelmed and wrapped in stifling protective suits, he and his team took it in turns to provide care to patients while removing dead bodies from the ward. Against all odds he battled to keep the hospital open, as the queue of sick and dying patients grew every day. Only a few miles down the road the Irish Ambassador and Head of Irish Aid worked relentlessly to rapidly scale up the international response. At a time when entire districts had been quarantined, she travelled around the country, and met with UN agencies, the President and senior ministers so as to be better placed in alerting the world to the catastrophe unfolding in front of her. In this blow-by-blow account, Walsh and Johnson expose the often shocking shortcomings of the humanitarian response to the outbreak, both locally and internationally, and call our attention to the immense courage of those who put their lives on the line every day to contain the disease. Theirs is the definitive account of the fight against an epidemic that shook the world.Trade ReviewGetting to Zero is a compelling read, full of compassion, grief, ingenuity and stories of courage and unstinting commitment of local nurses, cleaners and others who remain unsung heroes of Ebola. But it is also full of tales of denial, extraordinary lapses in leadership and awkward truths that will make uncomfortable reading for many, locally and internationally. * Guardian *Written in an honest and engaging tone, their experience behind the scenes of the outbreak is illuminating and highlights important lessons for the management of future outbreaks, and the operational errors that increased the number of lives lost in the west African outbreak of 2014–16. * Lancet *Hundreds of reports have been written on the 2014 epidemic – the most widespread Ebola outbreak since the virus was discovered – but none is nearly as insightful, compassionate or unsparing as this. * Irish Times *A brave, bold, yet humble account from the frontlines of the Ebola outbreak in Sierra Leone. This is vital reading to help us all do better next time. * David Miliband, President and CEO of the International Rescue Committee *Courage in extreme clinical danger, courage to challenge obstructive bureaucracy, courage to make tough decisions and the courage to endure. This is the courage that Sinead Walsh and Oliver Johnson displayed in Sierra Leone. Their compelling book is essential reading for all who care about global health. * Eldryd Parry, founder of the Tropical Health and Education Trust *A captivating and brutally honest account of the Ebola epidemic from two brave, committed individuals who unexpectedly found themselves at its epicentre. The authors pull no punches, and leave us asking: will these lessons be learned, or will the world once again forget and move on? * Jeremy Farrar, Director of the Wellcome Trust *This powerful book asks important questions about aid and development and offers insights that everyone working in global health should absorb – as well as being a personal and very moving account of an epidemic that killed thousands. * Lord Nigel Crisp, Co-Chair of the All Party Parliamentary Group on Global Health *Walsh and Johnson represent the best of international intervention. This book reveals the complexities and level of cooperation that made “getting to zero” possible. Offers excellent insight into those trying times. * O.B. Sisay, Director of the Situation Room at the National Ebola Response Centre, Sierra Leone *An extraordinary account from the thick of the battle against Ebola. This is history’s first draft, and a powerful example of persistent and pragmatic leadership. Mandatory reading for anyone concerned with global health in the broadest sense. * Paul Farmer, Harvard Medical School, and co-founder of Partners in Health *Takes us behind the scenes to the harrowing frontlines of the Ebola epidemic – highlighting a set of lessons that an inter-connected world would ignore at our peril. A compelling read. * Samantha Power, former US Ambassador to the UN *A detailed, up-close-and-personal perspective on the Ebola epidemic in Sierra Leone, important for all who want to understand what it is to confront a terrible health threat. * Tom Frieden, President and CEO of Resolve to Save Lives, and former Director of the Centers for Disease Control and Prevention *Johnson and Walsh provide a frank, beautifully written, and essential guide to the lessons learned from the heart of the outbreak. Their first-hand experiences in battling this terrible disease will take your breath away. A must read. * Tulip Mazumdar, Global Health Correspondent for BBC News *Table of ContentsMaps Preface 1. New Beginnings: Sierra Leone before the Outbreak of Ebola 2. A Dubious Start: Ebola in Guinea 3. Ebola Emerges in Sierra Leone 4. Kenema Explodes 5. Armageddon 6. The Long Wait for Action 7. The Response Kicks Off 8. The Response Bears Fruit 9. Getting to Zero 10. Conclusion Afterword: If We Had to Do It All Again…

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Book SynopsisA time-tested, landmark approach to health promotion and communication projects and everything that goes into making them successful. For more than 40 years, the PRECEDE-PROCEED model, developed in the early 1970s by Lawrence W. Green and first published as a text in 1980 with Marshall W. Kreuter, Sigrid G. Deeds, and Kay B. Partridge, has been effectively applied worldwide to address a broad range of health issues: risk factors like tobacco and lack of exercise, social determinants of health such as lack of access to transportation and safe housing, and major disease challenges like heart disease and guinea worm disease. In Health Program Planning, Implementation, and Evaluation, Green and his team of senior editors and chapter authors combine their expertise to offer a high-level guide to public health programming. This guide aligns with foundational public health competencies required by increasingly rigorous certification and accreditation standards. Driven by the coronavirus panTable of ContentsForeword by Jonathan E. FieldingPrefaceAcknowledgmentsAbout the EditorsContributors Part I. Hallmarks of the PRECEDE-PROCEED ModelChapter 1 A Model for Population Health Planning, Implementation, and EvaluationLawrence W. Green, Andrea Carlson Gielen, Marshall W. Kreuter, Darleen V. Peterson, and Judith M. Ottoson Chapter 2 Participation and Community Engagement in PlanningLawrence W. Green, Andrea Carlson Gielen, and Marshall W. KreuterPart II. PRECEDE-PROCEED Phases: Planning, Implementation, and EvaluationChapter 3 Social Assessment: Quality of LifeLawrence W. Green, Marshall W. Kreuter, and Andrea Carlson GielenChapter 4 Epidemiological Assessment I: Population HealthLawrence W. Green, Andrea Carlson Gielen, and Marshall W. KreuterChapter 5 Epidemiological Assessment II: Behavioral and Environmental FactorsLawrence W. Green, Marshall W. Kreuter, and Andrea Carlson GielenChapter 6 Educational and Ecological Assessment: Predisposing, Enabling, and Reinforcing FactorsMaría E. Fernández, Gerjo Kok, Guy Parcel, and Lawrence W. GreenChapter 7 Health Program and Policy Development I: Intervention StrategiesMichelle C. Kegler and Rodney LynChapter 8 Health Program and Policy Development II: Implementation StrategiesCam Escoffery and Lawrence W. GreenChapter 9 Health Program and Policy Development III: Evaluation StrategiesChris Y. Lovato and Judith M. OttosonPart III. Applications of PRECEDE-PROCEED in Specific SettingsIntroduction to PRECEDE-PROCEED ApplicationsChapter 10 Applications in Community SettingsAmelie G. Ramirez and Patricia ChalelaChapter 11 Applications in Occupational SettingsPaul Terry, Nico Pronk, and Shelley GoldenChapter 12 Applications in School SettingsLloyd J. Kolbe, Holly Hunt, and Faten Ben AbdelazizChapter 13 Applications in Health Care SettingsJohn P. Allegrante and Janey C. PetersonChapter 14 Applications in Communication TechnologyRobert S. GoldAppendixesA. Frequently Asked QuestionsAndrea Carlson Gielen and Vanya C. JonesB. Public Health Competencies by ChapterDarleen V. PetersonC. The Evaluation Standards: A ChecklistD. CDC Evaluation Framework Steps and PRECEDE-PROCEED PhasesE. Commonly Used Evaluation DesignsGlossaryIndex

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Book SynopsisThis great-value pack offers students a definitive resource on clinical medicine.

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Book SynopsisDoes the race for vaccine development make sense? What are the chances of success? Will the vaccine be safe? Will people accept it?? In June 2020, Corona, False Alarm? exploded into the German market, selling 200,000 copies and 75,000 e-books in the first six weeks. No other topic dominates our attention as much as coronavirus and COVID-19, the infectious disease it triggers. There’s been a global deluge of contradictory opinions, fake news, and politically controlled information. Differing views on the dangers posed by the pandemic have led to deep division and confusion, within governments, society, and even among friends and family. In Corona, False Alarm?, award-winning researchers Dr. Sucharit Bhakdi and Dr. Karina Reiss give clarity to these confusing and stressful times. They offer analysis of whether radical protective measures—including lockdown, social distancing, and mandatory masking—have been justified, and what the ramifications have been for society, the economy, and public health. Dr. Bhakdi and Dr. Reiss provide dates, facts, and background information, including: How Covid-19 compares with previous coronaviruses and the flu virus What infection numbers and the death rate really tell us The challenges around lockdown: Were the protective measures justified? Mandatory mask-wearing: Does the science support it? Vaccines: What are the chances of success? What are the risks? Corona, False Alarm? provides you with sound information and substantiated facts—and encourages you to form your own opinion on the corona crisis.

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Book SynopsisMolecular understanding of cancer and cancer progression is at the forefront of many research programs today. High-throughput array technologies and other modern molecular techniques produce a wealth of molecular data about the structure, and function of cells, tissues, and organisms. Correctly analyzed and interpreted these data hold the promise of bringing new markers for prognostic and diagnostic use, for new treatment schemes, and of gaining new biological insight into the evolution of cancer and its molecular, pathological, and clinical consequences.Aimed at graduates and researchers, this book discusses novel advances in informatics and statistics in molecular cancer research. Through eight chapters from carefully chosen experts it brings the reader up to date with specific topics in cancer research, how the topics give rise to development of new informatics and statistics tools, and how the tools can be applied. The focus of the book is to give the reader an understanding of keyTable of ContentsPREFACE ; 1. Association Studies ; 2. Methods for DNA Copy Number Derivations ; 3. Methods for Derivation of LOH and Allelic Copy Numbers Using SNP Arrays ; 4. Bioinformatics of gene expression and copy number data integration ; 5. Analysis of DNA Methylation in Cancer ; 6. Pathway Analysis: Pathway Signatures and Classification ; 7. Two Methods for Comparing Genomic Data Across Independent Studies in Cancer Research: Meta-analysis and Oncomine Concepts Map ; 8. Bioinformatic Approaches to the Analysis of Alternative Splicing Variants in Cancer Biology ; INDEX

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Book SynopsisAn invaluable resource for health professionals and students engaged in research, this thoroughly updated edition provides a guide to the major measures of health and functioning. Measures of subjective health, well-being and quality of life are introduced along with analysis of their validity and reliability and the evidence for using each one. Throughout the book each measure is explained with a summary of how each one is scored and used, making this a one-stop guide to understanding health measurements, and the basic concepts behind measuring health, quality of life and well-being. â A new look and feel makes measures and scales easier to locateâ Further research and evidence provides a greater critique of the measures â Useful source information to help you access each measure with permissionâ The addition of new scales include the Warwick-Edinburgh Wellbeing Scale, the Older Peopleâs Quality of Life Scale and the Short-Form McGillTable of ContentsConcepts Of Functioning And Health, Well-Being And Quality Of LifeTheory Of MeasurementMeasuring Functional AbilityMeasuring Broader Health StatusMeasuring Psychological Well-BeingMeasuring Social Networks And Social SupportMeasuring The Dimensions Of Subjective Well-BeingMeasuring Broader Quality Of Life

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a huge range and FREE tracked UK delivery on ALL orders.

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a huge range and FREE tracked UK delivery on ALL orders.

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a huge range and FREE tracked UK delivery on ALL orders.

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Book SynopsisWritten in an informal and easy-going style suitable for a wide range of readers, this textbook uses real-world examples to teach the institutional details of healthcare and health insurance and explain the economics that underpin the behaviour of key players in these markets. A complete one-stop-shop for learning about the economics of healthcare.Trade Review'This is the book health economics instructors and students have been waiting for! The real-world examples immediately draw in readers and provide a foundation for looking at important issues in health care from an economic perspective. Dr. Friedson's approach to examining complex topics is both intuitive and hilarious.' Elizabeth Munnich, University of Louisville'A captivating tour of the economic foundations of modern healthcare. With practical examples and delightful humor, this book effortlessly breaks down complex concepts, making health economics accessible to diverse readers. A must-have resource for students seeking a comprehensive grasp of healthcare markets and the challenges they entail.' Sarah Miller, University of Michigan'This is a book on the economics of healthcare that is well organized, comprehensive in its coverage, and actually fun to read! It is well suited for a diverse audience, including undergraduate and graduate students from different degree programs, practitioners, and policy makers.' James H. Marton, Georgia State University'The hallmark of this book is its dedication to practicality. Demanding no prerequisite economics background, Friedson's 'Health Economics' is ideal for students and professionals in public health and healthcare management. Rich with insights into the economics of the healthcare industry, it occupies a unique space in the health economics literature.' Natallia Grey, Iowa State UniversityTable of ContentsPreface; Acknowledgments; Part I. Patients: 1. How Economists View Human Behavior; 2. Where Does Health Come From?; 3. Demand for Medical Care; 4. Health Insurance and Demand for Medical Care; 5. Evaluating Evidence; Part II. Providers: 6. Provider Firms; 7. The Medical Labor Force; 8. Providers and Incentives; 9. Hospitals; Part III. Health Insurers: 10. Health Insurance as a Product; 11. Adverse Selection; 12. Prices; 13. Managed Care; 14. Public Insurance; Part IV. The Sector at Large; 15. Pharmaceuticals; 16. Externalities; 17. Medical Malpractice; 18. Inequality; 19. International Comparisons.

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Book SynopsisPsychological hedonism - the idea that people tend to act in ways that maximize pleasure and minimize displeasure - has a decidedly poor reputation among academics who study human behavior. Opinions range from outright rejection to those who believe it to be intuitively obvious, but untestable and therefore unhelpful. In this book, the author introduces an empirically testable and useful theory of psychological hedonism based on contemporary theory and research in the emerging field of affective neuroscience. He goes on to argue that people are genetically endowed with a tendency towards psychological hedonism as a function of Darwinian processes. This view of psychological hedonism in light of its Darwinian origins - thereinafter referred to as Darwinian hedonism - is essential to address the growing global epidemic of unhealthy behavior, such as poor diet, physical inactivity, and substance use.Trade Review'The ideas presented here are original, convincing, and important. Readers who do research or practice in public health or human behavior will appreciate the author's novel way of thinking about and addressing current problems.' Meghan L. Butryn, The Quarterly Review of BiologyTable of Contents1. Introduction; Part I. Unhealthy behavior: 2. The epidemic of unhealthy behavior; 3. Understanding the causes of behavior; 4. A causal chain of behavior; 5. Contents of the mind; 6. What are the causes of unhealthy behavior?; Part II. Psychological Hedonism: 7. Psychological hedonism and its problems; 8. Reformulating psychological hedonism; 9. Pleasure, displeasure, and affective valence; 10. Hedonic response; 11. Sources of hedonic response; 12. Reward, incentive salience, and hedonic motivation; 13. Incentive conditioning: from hedonic response to hedonic motivation; 14. Hedonic versus reflective motivation; 15. From hedonic motivation to unhealthy behavior; 16. The theory of hedonic motivation; Part III. Darwinian Hedonism: 17. Darwinian hedonism; 18. Neo-Darwinism; 19. The evolutionary function of psychological hedonism; 20. The phylogenetic development of psychological hedonism; Part IV. Darwinian Hedonism and Unhealthy Behavior: 21. Motivational mismatch; 22. Darwinian hedonism and unhealthy behavior; 23. Darwinian hedonism and hedonic desire for calorie-dense foods; 24. Darwinian hedonism and hedonic dread of physical activity; 25. Darwinian hedonism and hedonic desire for smoking, drinking, and drug use; 26. Health behavior interventions; 27. Darwinian hedonism and health-behavior policy; 28. Darwinian hedonism and political will; 29. Conclusions and future directions; Appendix A: hedonic motivation and other motivation concepts; Appendix B: anticipating criticisms of Darwinian hedonism.

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Book SynopsisSAS programming is a creative and iterative process designed to empower you to make the most of your organization''s data. This friendly guide provides you with a repertoire of essential SAS tools for data management, whether you are a new or an infrequent user. Most useful to students and programmers with little or no SAS experience, it takes a no-frills, hands-on tutorial approach to getting started with the software. You will find immediate guidance in navigating, exploring, visualizing, cleaning, formatting, and reporting on data using SAS and JMP. Step-by-step demonstrations, screenshots, handy tips, and practical exercises with solutions equip you to explore, interpret, process and summarize data independently, efficiently and effectively.Trade Review'The authors have created a very readable and gentle introduction to SAS programming and its working environment - Enterprise Guide. The text provides a valuable overview of 'navigating' in a SAS windowing environment and before moving quickly into core procedures. … a very valuable introduction to basic SAS programming for the beginning data analyst.' Glenn Gamst, University of la Verne, California'The authors of Data Management Essentials Using SAS and JMP have written a thoroughly user-friendly beginning guide to SAS programming for data exploration and management, and for designing well-constructed and informative reports. I honestly know of no better book to use for self-instruction on, or for teaching essential SAS programming skills for report design than this very well written and produced book.' Joseph M. Hilbe, Arizona State UniversityTable of Contents1. Navigation; 2. Preliminary data exploration; 3. Storing and manipulating data; 4. Advanced concepts in dataset and variable manipulation; 5. Introduction to common procedures; 6. Procedures for simple statistics; 7. More about common procedures; 8. Data visualization; 9. JMP as an alternative.

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Book SynopsisThis book is a practical guide for the successful implementation of antibiotic stewardship programs. It is an essential resource for healthcare providers as well as being a useful tool for those pursuing infectious disease training and looking to learn more about the field of antibiotic stewardship.Table of ContentsPreface Neil Fishman; 1. The need for antibiotic stewardship programs: an introduction Emily Spivak, Lauri Hicks and Arjun Srinivasan; 2. Structure of an antibiotic stewardship team and core competencies Whitney R. Buckel and Sara E. Cosgrove; 3. The social determinants of antibiotic prescribing: implications for the development and implementation of stewardship interventions Julia E. Szymczak and Jason Newland; 4. Selecting and applying antibiotic stewardship strategies Rebekah Moehring and Whitney A. Jones; 5. Syndrome-based antibiotic stewardship Trevor C. Van Schooneveld and Emily Heil; 6. Duration of therapy: our role as stewards George Nelson and Annie Wong-Beringer; 7. Measurement in antibiotic stewardship Elizabeth Dodds Ashley and Edward Stenehjem; 8. What every steward should know about pharmacokinetics and pharmacodynamics Jason M. Pogue and Marc H Scheetz; 9. Collaborating with the microbiology laboratory Graeme N. Forrest and Denise Kirsch; 10. Informatics and stewardship Francesca Lee and Kristi Kuper; 11. Antibiotic allergies and antibiotic stewardship Keith Hamilton and Holly Maples; 12. Antibiotic stewardship in post-acute care facilities Anurag N. Malani and Christopher J. Crnich; 13. Outpatient antibiotic stewardship Larissa May and Matthew P. Kronman; 14. Maintaining an antibiotic stewardship program: keeping everyone happy and remaining relevant Marisa Holubar, B. Joseph Guglielmo and Stan Deresinski; 15. Practical antibiotic stewardship: implementing an antibiotic stewardship program Richard H. Drew and Rebekah W. Moehring; Index.

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Book SynopsisThe healthcare sector is one of the fastest growing areas of social and public spending worldwide, and it is expected to increase its government shares of GDP in the near future. Truly global in its scope, this book presents a unified, structured understanding of how the design of a country''s health institutions influence its healthcare activities and outcomes. Building on the ''public choice'' tradition in political economy, the authors explore how patient-citizens interact with their country''s political institutions to determine the organisation of the health system. The book discusses a number of institutional influences of a health system, such as federalism, the nature of collective action, electoral competition, constitutional designs, political ideologies, the welfare effects of corruption and lobbying and, more generally, the dynamics of change. Whilst drawing on the theoretical concepts of political economy, this book describes an institution-grounded analysis of health systTrade Review'An important effort to understanding health policies through a shrewd lens of relevant political and economic institutions. A textbook undoubtedly needed to define new policies at a time our patients are losing patience.' Guillem Lopez Casasnovas, Universitat Pompeu Fabra'Citizens in democratic countries choose to spend more on health care and to channel more of that spending through the public sector as their incomes rise, but among these countries there is substantial variation in private payments out of pocket and variety of choices among health plans. In contrast to most analyses that see these variations as reducing overall welfare, this book takes the refreshing view that they are determined by voter preferences in a setting that acknowledges both constitutional rules and government as well as market imperfections. It provides valuable insights on whether things can be arranged better in some countries, given unavoidable constraints on government actions and political actors – insights that both help us understand what happens and what is possible.' Mark Pauly, Wharton School, University of PennsylvaniaTable of ContentsPart I. Political incentives in healthcare systems: 1. The political design of health systems; Part II. The political contexts of health care policies: 2. The multilevel nature of health care governance; 3. 'Collective Action' and global health care; Part III. Political institutions and health: 4. Constitutional health system design; 5. Democracy and the health of the patient citizen; 6. Political markets in health care; 7. Ideology and healthcare; Part IV. Political allocation in health care: 8. Health care waste and corruption; 9. Interest groups and health policy; 10. Political sustainability of health innovation; Bibliography; Index.

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Book SynopsisThe healthcare sector is one of the fastest growing areas of social and public spending worldwide, and it is expected to increase its government shares of GDP in the near future. Truly global in its scope, this book presents a unified, structured understanding of how the design of a country''s health institutions influence its healthcare activities and outcomes. Building on the ''public choice'' tradition in political economy, the authors explore how patient-citizens interact with their country''s political institutions to determine the organisation of the health system. The book discusses a number of institutional influences of a health system, such as federalism, the nature of collective action, electoral competition, constitutional designs, political ideologies, the welfare effects of corruption and lobbying and, more generally, the dynamics of change. Whilst drawing on the theoretical concepts of political economy, this book describes an institution-grounded analysis of health systTrade Review'An important effort to understanding health policies through a shrewd lens of relevant political and economic institutions. A textbook undoubtedly needed to define new policies at a time our patients are losing patience.' Guillem Lopez Casasnovas, Universitat Pompeu Fabra'Citizens in democratic countries choose to spend more on health care and to channel more of that spending through the public sector as their incomes rise, but among these countries there is substantial variation in private payments out of pocket and variety of choices among health plans. In contrast to most analyses that see these variations as reducing overall welfare, this book takes the refreshing view that they are determined by voter preferences in a setting that acknowledges both constitutional rules and government as well as market imperfections. It provides valuable insights on whether things can be arranged better in some countries, given unavoidable constraints on government actions and political actors – insights that both help us understand what happens and what is possible.' Mark Pauly, Wharton School, University of PennsylvaniaTable of ContentsPart I. Political incentives in healthcare systems: 1. The political design of health systems; Part II. The political contexts of health care policies: 2. The multilevel nature of health care governance; 3. 'Collective Action' and global health care; Part III. Political institutions and health: 4. Constitutional health system design; 5. Democracy and the health of the patient citizen; 6. Political markets in health care; 7. Ideology and healthcare; Part IV. Political allocation in health care: 8. Health care waste and corruption; 9. Interest groups and health policy; 10. Political sustainability of health innovation; Bibliography; Index.

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Book SynopsisRiver networks are critically important ecosystems. This interdisciplinary book provides an integrated ecohydrological framework blending laboratory, field, and theoretical evidence that changes our understanding of river networks as ecological corridors. It describes how the physical structure of the river environment impacts biodiversity, species invasions, population dynamics, and the spread of waterborne disease. State-of-the-art research on the ecological roles of the structure of river networks is summarized, including important studies on the spread and control of waterborne diseases, biodiversity loss due to water resource management, and invasions by non-native species. Practical implications of this research are illustrated with numerous examples throughout. This is an invaluable go-to reference for graduate students and researchers interested in river ecology and hydrology, and the links between the two. Describing new related research on spatially-explicit modeling of the sTrade Review'A banquet of theoretical rigor, disciplinary integration, and insightful applications. Starting from a clear demonstration of the link between biodiversity patterns and processes to the physical template of our planet, and specifically river networks, the authors unleash a tour de force ranging from neutral theory to the spread of humans and pandemics to species invasions and biodiversity loss. Remarkable!' Pablo Marquet, Pontifical Catholic University of Chile'This book is a brilliant marriage of theoretical and empirical exposition, and the most comprehensive integration available of the ecology and geomorphology of fluvial systems. The volume builds original exploration of some of the most fundamental issues in ecological theory upon an authoritative presentation of the mathematical foundations. The authors are unmatched in their expertise and scholarship in the subject, and the current volume is a magnificent capstone to their remarkable individual and collaborative contributions.' Simon A. Levin, Department of Ecology and Evolutionary Biology, Princeton University'This monumental book is a wonderful corridor to 'run' through one of the most fascinating frontiers of research, the one linking water, landscapes, ecosystems, and societies. These important topics, here analyzed with the elegant tools of dynamical systems and statistical physics and with attention to field and laboratory observations, will inspire a new generation of environmental scientists.' Amilcare Porporato, Department of Civil and Environmental Engineering, Princeton University'This novel approach takes ecohydrology into new territory. With a rich mixture of theory and practical science from both the field and the laboratory, the authors demonstrate how hydrological connectivity in the fluvial network provides the basis for an understanding of biodiversity, migration and the spread of disease in river systems. Spanning the widest range from the molecular via ecosystems to the world's largest river basins, the authors have assembled a broad research field into a single book that will excite and challenge students and researchers for a generation to come.' Tim Burt, Durham University'This is the most insightful and powerful analysis of how river networks shape the complex ecological function of riparian corridors through controls on species dispersal, biological invasions, biodiversity patterns, and waterborne disease epidemics. A truly exceptional, comprehensive, and transformative account of theories, experiments, and applications with a wealth of new ideas. This is certain to become the most authoritative, inspiring, and illuminating book of reference in riparian ecohydrology!' Paolo D'Odorico, University of California, Berkeley'… [an] innovative work … an in-depth look at the importance of riverine networks as corridors for the movement of various ecological conditions and populations.' K. R. Thompson, ChoiceTable of ContentsPreface; Acknowledgments; 1. Introduction; 2. Species; 3. Populations; 4. Waterborne disease; 5. Afterthoughts and outlook; Appendix A. Stability of dynamical systems and bifurcation analysis; Appendix B. Optimal channel networks and geomorphological statistical mechanics; Appendix C. Computational tools for waterborne disease spread; References; Index.

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Book SynopsisThis stimulating book has become a go-to text for understanding the role that social factors play in the experience of health and many diseases. This extensively revised and updated third edition offers the most compelling case yet that stress, poverty, unhealthy lifestyles, and unpleasant living and working conditions can all be directly associated with illness. The book continues to build on the paradigm shift that has been emerging in twenty-first-century medical sociology, which looks beyond individual explanations for health and disease. As the field has headed toward a fundamentally different orientation, William Cockerham’s work has been at the forefront of these changes, and he here marshals evidence and theory for those seeking a clear and authoritative guide to the realities of the social determinants of health. Of particular note in the latest edition is new material on the relationship between gender and health, implications of the life course for health behavior, the health effects of social capital, and the emergence of COVID-19. This engaging introduction to social epidemiology will be indispensable reading for all students and scholars of medical sociology, especially those with the courage to confront the possibility that society really does make people sick.Trade Review"The third edition of Cockerham's classic text on the social causes of health and illness is most welcome. Notable features of this masterful and comprehensive contribution are the coverage of theory as well as research, its international reach, and its erudition. This will be an indispensable volume for teachers, students, and practitioners alike."—Graham Scambler, University College London and Fellow of the Academy of Social Sciences "As in the previous editions, Cockerham presents us with a powerful understanding of the social determinants of health. This time, he updates his perspective, weaving in novel dynamic dimensions from life course research and important structural elements from social capital."—Bernice A. Pescosolido, Indiana University "This is a brilliant book to provide the foundations to students and scholars who are keen to learn about inequalities and the impacts on health and illness, clinicians who know that something is unfair in healthcare but can't put their finger on it or even those that want to have statistics and theories ready for a Christmas dinner debate with a relative... an excellent and comprehensive beginner’s guide to how inequalities change the lives of others."—Cost of Living

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Book SynopsisIt was the ultimate test for CEOs, and almost none of them saw it coming.__________In early March 2020, with the Dow Jones flirting with 30,000, the world's biggest companies were riding an eleven-year economic high. By the end of the month, millions would be out of work, iconic firms were begging for bailouts, and countless small businesses were in freefall. Slick consulting teams and country-club connections were suddenly of little use: business leaders were fumbling in the dark, tossing out long-term strategy and making decisions on the fly-decisions, they hoped, that might just save them.In Crash Landing, award-winning business journalist Liz Hoffman shows how the pandemic set the economy on fire-but if you look closely, the tinder was already there.Based on astonishing access inside some of the world's biggest and most iconic companies, this is a gripping account of the most remarkable period in modern economic history, revealing how they battled against an economic catastrophe for which there was no playbook: among them, AirBnB's Brian Chesky, blindsided by a virus in the middle of a high-stakes effort to go public; American Airlines's Doug Parker, shuttling between K Street and the White House, determined to secure a multi-billion-dollar bailout; and Ford's Jim Hackett, as his assembly lines went from churning out cars to ventilators.Crash Landing reveals the fear, grit, and gambles of the pandemic economy, while probing its implications for the future of work, corporate leadership, and capitalism itself, asking: Will this remarkable time give rise to newfound resilience, or become just anothercostly mistake to be forgotten?__________A gripping account of the financial carnage of the pandemic, revealing the fear, grit, and gambles that drove the economy's winners and losers. Trade Review'With the urgency of Too Big to Fail and unforgettable characterizations of The Big Short, Crash Landing tells a momentous story: how the Covid-19 pandemic threatened not just billions of lives but the livelihoods and economic safety of nearly everyone on the planet.' -- Brad Stone, author of Amazon Unbound and The Everything Store"Hoffman takes readers behind the scenes to show how corporate, business and government leaders responded to a once-in-century calamity. Crash Landing is full of drama. Those eager to prepare for the next crisis should read this book and heed its lessons." --Gregory Zuckerman, New York Times bestselling author of The Man Who Solved the Market"Crash Landing is a true masterwork. Liz Hoffman's perceptive, well researched, and captivating look at how COVID transformed the business and financial industries should be on the shelf of every student of the business world."--David Rubenstein, co-founder and co-chairman, The Carlyle Group; New York Times bestselling author of How to Invest"A rare look inside the split -second, high-stakes decisions at the top of America's corporate giants. This book reflects Liz Hoffman's rare combination of valuable gifts: vivid writing, incredible access and sourcing, and actual insight." -- Mary Childs, author of national bestseller The Bond King, cohost of NPR's "Planet Money""There is a reason Liz Hoffman is known in journalism circles as a scoop machine: she gets people to talk. In Crash Landing she takes us inside the heads of the business world's biggest power players as they stare at an economic abyss. The result is a riveting chronicle of the boardroom brinksmanship that-mostly-succeeded, but also how this unprecedented era exposed new risks and thrust an uncomfortable spotlight on the role of corporate leaders that will endure." --Bradley Hope, New York Times bestselling author of Billion Dollar Whale and The Rebel and the Kingdom'This book reads like a suspense thriller, because that's what it is, even though every word is true. Hoffman casts her brilliant reportorial eye on the economic upheaval that began in late 2019. She reveals just how often the supposed rational leaders of the economy are actually shooting from the hip, relying on gut instinct, cronyism and self-interest to try and steer the economy away from the abyss.' -- Brian Koppelman, co-creator, showrunner, and executive producer of Showtime's Billions'In Crash Landing, Liz Hoffman offers something fresh and much-needed: an insider tale of what it takes to steer a company-indeed, an economy-through a shock that nobody saw coming. Having spent time in boardrooms in times of crisis, the portrait she paints is highly accurate. The aspiring C-suite class should take note.' -- Harvey Schwartz, former president and co-chief operating officer, Goldman Sachs

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Book SynopsisThis book, The COVID-19 Disaster. Volume 1: The Historic Lessons Learned and Benefits of Human Collaboration, is an intentionally apolitical treatment of the many experiences at the heart of the disaster. It collects hands-on experience from government preparedness and response work, including the impact on state IT systems, the heroic healthcare workers who directly faced the consequences of the disease each day, and the medical and insurance industries'' impact and response, and then builds recommendations for the solution-approach book entitled The COVID-19 Disaster Volume II: Pandemic Prevention and Response Using Artificial Intelligence.

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Book SynopsisOur national leaders have drifted into treating the pandemic as though it were an unavoidable natural catastrophe, repeating a depressing cycle of panic followed by neglect. So a remarkable group of practitioners and scholars from many backgrounds came together determined to discover and learn lessons from this latest world war. Lessons from the Covid War is plain-spoken and clear sighted. It cuts through the enormous jumble of information to make some sense of it all and answer: What just happened to us, and why? And crucially, how, next time, could we do better? Because there will be a next time.The Covid war showed Americans that their wondrous scientific knowledge had run far ahead of their organized ability to apply it in practice. Improvising to fight this war, many Americans displayed ingenuity and dedication. But they struggled with systems that made success difficult and failure easy. This book shows how Americans can come together, learn hard truths, build on what worked, and prepare for global emergencies to come.A joint effort from:Danielle Allen John M. Barry John Bridgeland Michael Callahan Nicholas A. Christakis Doug Criscitello Charity Dean Victor Dzau Gary Edson Ezekiel Emanuel Ruth Faden Baruch Fischhoff Margaret "Peggy" Hamburg Melissa Harvey Richard Hatchett David Heymann Kendall Hoyt Andrew Kilianski James Lawler Alexander J. Lazar James Le Duc Marc Lipsitch Anup Malani Monique K. Mansoura Mark McClellan Carter Mecher Michael Osterholm David A. Relman Robert Rodriguez Carl Schramm Emily Silverman Kristin Urquiza Rajeev Venkayya Philip Zelikow

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Book SynopsisThis book features various accounts of a cholera outbreak in West London that killed over 500 people in ten days during the late summer of 1854. What had happened? Local authorities were flummoxed about the mode by which the disease had spread. What has become known as 'the Broad Street pump episode' is one of the most significant early examples of team-oriented investigations into the causes of epidemic disease - a hallmark of epidemiology and public health today.This collection includes documents from the five separate investigations into possible causes that were conducted. John Snow and Henry Whitehead made independent investigations. Inspectors from the General Board of Health and the Sewer Commission as well as a parish inquiry committee also scrutinized the outbreak. This volume traces competing notions of how this disease was communicated, starting with the first pandemic which reached England in 1831, and it documents how they developed over time.Trade Review“With highly engaging prose, accessible primary sources, and thought-provoking prompts, Peter Vinten-Johansen has produced an invaluable resource for students who want to understand better not only the monumental shifts in scientific methods and thinking concerning epidemics and disease in the nineteenth century, but also what it means to ‘do’ history, as he invites readers to conduct their own detective work and textual interpretations. An ideal blend of choose-your-own-adventure approach to storytelling combined with serious scholarship and documentation, Investigating Cholera will make the history of epidemics—and the classroom—come alive.” — Beth Linker, University of Pennsylvania “Broad Street in London exerts an almost mythical hold over public health. But what do we really know about it? Peter Vinten-Johansen expertly deconstructs the legend by using a wide range of original documents to reconstruct the trajectories of cholera from India to Great Britain in the mid-nineteenth century. An exemplary model of its kind, this book is an essential resource for teachers and students of history and public health who want to understand how the knowledge and practices of medicine, science, and politics were brought together in an attempt to solve a pressing problem that had dire consequences at local and global scales.” — Graham Mooney, Johns Hopkins University“This freshly edited collection of documents relating to the cholera outbreaks in mid-nineteenth-century Britain will prove invaluable for students and instructors alike. The material has been gathered to dispel the anachronistic view that John Snow was either a lone and derided genius or ‘a prototypical germ-theorist.’ The story of cholera investigation that emerges here is a collaborative one.” — Alannah Tomkins, Keele UniversityTable of Contents Preface I. The Broad Street Pump Episode, 1854 II. Historiography of the Broad Street Pump Episode III. Online Companion Acknowledgements Abbreviations Glossary Introduction I. Out of India II. Epidemic Cholera in England, 1831-33 III. Cholera, Civil Registration, and the Sanitary Idea IV. Another Cholera Pandemic Spurs More Public Health Action V. The Second English Cholera Epidemic, 1848-49 VI. Overview of the Documents in this Volume Chronology Questions to Consider A Note on the Text Part I: The Thomas Street Cholera Outbreak of 1849 a Contested Natural Experiment 1. Asiatic Cholera Approaches the British Isles: General Board of Health, Guidelines for Managing Epidemic Cholera (7 October 1848) 2. Metropolitan Commission of Sewers: John Grant, Two Reports on Cholera in South London (August 1849) 3. A New Hypothesis: John Snow, On the Mode of Communication of Cholera (September 1849) 4. Cholera as Contagion: Two Medical Journals Review Snow's Pamphlet (September 1849) Questions to Consider Part II: Contagious or Non-Contagious a Cholera Mystery 5. What's Happening in India? Frederick Corbyn, 'Account' (1819) and Gilbert Blaine's Critique at the Royal Medical and Chirurgical Society (1820) 6. The Pandemic's Progress from India to Britain, 1817-31: Thomas Wakley, 'The Blue Cholera of India' (November 1831) 7. Epidemic Constitution of the Seasons and Its Relevance for the Present Age: Gavin Milroy, 'Life and Writings of Sydenham' (1846-47) 8. The Cholera-Fungus Fiasco: Excerpts from Medical Journals and the Times (September-November 1849) 9. Westminster Medical Society: Excerpts from Cholera Discussions (October 1849) Questions to Consider Part III: Filth, Elevation, and Impure Water the Chief Causal Contenders at Mid-Century 10. Cholera as a Localizing Disease: General Board of Health, Report on the Epidemic Cholera of 1848 and 1849 (1850-51) 11. Atmosphere, Thames Water, and Elevation: General Register Office, Report on the Mortality of Cholera in England (1848-49) 12. Casting a Wider Net: Excerpts from Meetings of the Epidemiological Society of London (1850-51) 13. Probability in Epidemiology: Snow, 'Mode of propagation of cholera' (1851) 14. Who Supplies Your Water? Snow's 'Grand Experiment' in South London (1853-54) Questions to Consider Part IV: 'A Remarkable Outbreak' 15. Early Days: Henry Whitehead, Cholera in Berwick Street (October 1854) and Subsequent Recollections (1865) 16. Early Days: Alexander Stewart, 'Cholera in the Middlesex Hospital' (October 1854) and Elizabeth Gaskell on Florence Nightingale at Middlesex Hospital during the Outbreak (October 1854) 17. Early Days: Four Newspaper Accounts (3-11 September 1854) 18. Early Days: George Godwin, 'The life and death question' (9 September 1854) 19. A Pump in Broad Street: Snow, 'Cholera near Golden Square' (23 September 1854) 20. General Register Office: Cholera Deaths Registered in the Subdistricts of Berwick Street, Golden Square, and St. Anne, Soho (2 September 1854) 21. Did Sewer Construction and Sewer Gases Cause the Cholera Outbreak? Four Letters to the Editor of the Times (5-9 September 1854) 22. A Great Affliction Has United Us: Whitehead's Sermon at Friday Evensong (8 September 1854) Questions to Consider Part V: What Exactly Happened, and Why? 23. Looking for Fever Nests: Extracts from the General Board of Health's Investigation of the Outbreak Area (September 1854) 24. The Sewers are Blameless: Joseph Bazalgette, Edmund Cooper, and the Chairman of the Metropolitan Commission of Sewers Respond to Public Criticism (September 1854) 25. The Avocational, Shoe-Leather Epidemiologist: 'Cholera in Golden Square,' Times (15 September 1854), and Whitehead, Cholera in Berwick Street (October 1854) 26. Snow's Follow-Up Investigations: 'Cholera near Golden Square' (22 September 1854), Presentation at the Epidemiological Society (4 December 1854), 'Dr. Snow's Report' (12 December 1854), and On the Mode of Communication of Cholera, 2nd edition (January 1855) 27. Critique of Snow's Methodology and Evidence: Edmund Parkes, Review of On the Mode of Communication of Cholera (April 1855) 28. Summarizing their Tabular Findings: Donald Fraser, Thomas Hughes, and John Ludlow, Report on the Outbreak of Cholera (July 1855) 29. Illustrating the Outbreak: General Board of Health, Plan Shewing the Ascertained Deaths from Cholera in St. James, Westminster and St. Anne, Soho (July 1855) 30. A Wealth of Local Talent: Extract from the St. James, Westminster Parish Vestry Minute Book (1854), and Cholera Inquiry Committee, Report on the Cholera Outbreak (1855) 31. Shades of Sydenham? General Board of Health, Medical Council, Report and Appendix to Report of the Committee for Scientific Inquiries, 'Report in Relation to the Cholera Epidemic of 1854' (1855), and John Sutherland, 'Report on Epidemic Cholera in the Metropolis' (1855) Questions to Consider Select Bibliography Index

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Book SynopsisHealth Issues in Chinese Contexts Volume 2 is a collection of the health care professions'' research studies and writings and a film scholar''s analysis on health issues presented in movies in Hong Kong. This book demonstrates the wisdoms and innovations health promotion programs and work experiences by the health care providers from diverse health care settings. The selected significant health issues include the citizens'' perception on food safety in Hong Kong. A variety of community-based health promotion and primary health care programs will be introduced such as bone health among middle-aged men, Bikesmart program for primary school students, good night''s sleep program for elderly, healthy diet programs and the health promotion about the family harmony for new immigrant housewives. There are also two chapters on crisis management in health care settings like public transportation accidents and H5N1 in poultry workers. Regarding communication health topics, this book presents a proposal for communication skills workshop for nurses and a case study about the needs for pre-marriage communication. Some contributors reviewed the health issues and development in Hong Kong like nutritional status of the older people and the development of the Chinese medicine. Others contributors reported their clinical observations on a patient suffering from anorexia nervosa and her family members in the course of family treatment. Another contributor analysed the doctors'' images in cinema and television in order to reflect the actual health care services from a mass media lens. This book starts by a fiction named Dr. Medicine Love which is a creative work aimed to revisit the values and professional missions of being a good doctor. The following is a brief highlight of the 17 chapters.

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Book SynopsisThis book was written to satisfy the rising need for epidemiology oriented clinicians. It focuses on essential aspects of perinatal medicine in a straightforward accessible manner. It gives the epidemiological perspectives on maternal and foetal morbidities in addition to peripartum and neonatal complications. Chapters discuss epidemiology of diabetes mellitus during pregnancy, hypertensive disorders, ectopic pregnancy, pre-term delivery, placental problems, epidemiology of obesity during pregnancy, intra-uterine growth restriction and maternal and perinatal mortality. Written by international experts, this sensible guide draws on evidence-based data in perinatal medicine. This book is a valuable resource for a broad spectrum of clinicians and healthcare professionals dealing with perinatal medicine. Medical and nursing students, as well as residents in obstetrics and paediatrics may largely benefit from it at various stages of their training.

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Book Synopsis

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