Epidemiology and Medical statistics Books
Taylor & Francis Ltd Medical Statistics for Cancer Studies
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Taylor & Francis Ltd Calculating Xray Tube Spectra
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Taylor & Francis Ltd Handbook of MetaAnalysis
Book SynopsisMeta-analysis is the application of statistics to combine results from multiple studies and draw appropriate inferences. Its use and importance have exploded over the last 25 years as the need for a robust evidence base has become clear in many scientific areas, including medicine and health, social sciences, education, psychology, ecology, and economics.Recent years have seen an explosion of methods for handling complexities in meta-analysis, including explained and unexplained heterogeneity between studies, publication bias, and sparse data. At the same time, meta-analysis has been extended beyond simple two-group comparisons of continuous and binary outcomes to comparing and ranking the outcomes from multiple groups, to complex observational studies, to assessing heterogeneity of effects, and to survival and multivariate outcomes. Many of these methods are statistically complex and are tailored to specific types of data.Key featuresRigorous coverage of tTrade Review"Handbook of Meta-Analysis is a most laudable and detailed treatise on meta-analysis. It successfully covers – with gusto and substance – the full range of statistical methodology used in meta-analysis in a statistically rigorous and up-to-date manner, exuding a good balance of theory and applications (with real data and software syntax provided). It provides a comprehensive, coherent, and unified overview of the statistical foundations behind meta-analysis. Crafted by experts on the topic, each chapter is written with lucidity and surgical precision. It is elegantly organized, encyclopedic in breadth and depth, and fluent in exposition on the multidimensional role of meta-analysis: core material (background, systematic review process, data extraction, study-level results, frequent and Bayesian approaches); key extensions (meta-regression, individual data, multivariate meta-analysis, network meta-analysis, model checking, bias); and advances in particular fields of biomedical and social research (control risk regression, survival data, correlation matrices, genetic data, dose-response relationships, diagnostic tests, surrogate endpoints, complex observational data, prognostic models). It is a tour de force, a premier, and an indispensable reference that is highly recommended – and a must for serious researchers and practitioners engaged in meta-analysis. This state-of-the-science handbook is destined to be a classic."- Joseph C. Cappelleri, PhD, MPH, MS, Executive Director of Biostatistics, Pfizer Inc "For many researchers in social, medical, life and environmental sciences, it has become an essential part of their activities to synthesize evidence from the body of relevant research. The Handbook of Meta-analysis provides the most comprehensive and up-to-date coverage of the quantitative part of evidence synthesis, i.e., meta-analysis. Therefore, this handbook is a must-have for all researchers who wish to unlock and understand the power and potential of meta-analysis, but also for those who have already found and benefited from it. The authors of this edited volume are an interdisciplinary all-star team of statisticians and methodologists; probably, each of them could have written a textbook on meta-analysis. Here, they introduce both basics and advanced techniques that they have been leading to develop over their career. For many statisticians, a meta-analysis may be just one type of linear models (Chapters 1-11), yet, as this book demonstrates, meta-analyses can come in diverse forms and serve different purposes (see Chapters 14-22). Further, there are specific statistical issues meta-analysis needs to grapple with, such as publication bias (Chapters 12-13). The book ends with a chapter on how to use meta-analysis to plan our future work (Chapter 23) – what all scientists should be doing to reduce research waste and to accelerate scientific progress."- Shinichi Nakagawa, Professor of Evolutionary Biology and Synthesis, University of New South Wales, Sydney, Australia "This is an important book on an important subject, covering both theory and application, and it should be valuable to a wide range of readers in statistics and applied fields."- Andrew Gelman, Columbia University "...The Handbook of Meta-Analyses is a “must have” resource for: 1) statisticians, other professionals, and students conducting statistical research in meta-analysis; 2) practitioners conducting meta-analyses as part of systematic reviews or otherwise; and 3) educators and students who want to either start, or continue, to learn more about meta-analysis. The breadth and depth of up-to-date coverage of meta-analysis methods, wide range of areas of application, and examples, including online software code and data, is impressive. The contents are weighted towards frequentist strategies, but Bayesian strategies are highlighted in the core materials and revisited elsewhere. The Handbook is a pleasure to read. The editors and other co-authors guide the reader in a cohesive, unified fashion, from the foundational core material through increasingly sophisticated and wider ranging methods and applications. Their tone is conversational, with forwards-and-backwards sign-posting which integrates the contents in a tutorial-like fashion. Statistical notation is used with purpose, without excess, while maintaining statistical rigor in content. An abundance of graphs, figures, and tables reinforce the statistical concepts and methods, and visualize the examples. Both novice and more experienced readers will benefit...The Handbook of Meta-Analysis is a significant contribution which provides a palpable opportunity to improve future decision-making and policy setting."- Thomas Bradstreet, Appeared in the Journal of Biopharmaceutical Statistics "The handbook is intended for a relatively wide audience of statisticians, to be used as a textbook in a graduate course, as a reference book, a handbook or an introduction. The first part easily accomplishes these aims. There is a fair number of formulas, but they are well-explained and thus the text should be accessible for any statistician or quantitative researcher." -Anikó Lovik, International Society for Clinical Biostatistics, 72, 2021 Table of Contents1. Introduction to systematic review and meta-analysis2. General themes in meta-analysis3. Choice of effect measure and issues in extracting outcome data4. Analysis of univariate study-level summary data using normal models5. Exact likelihood methods for group-based summaries6. Bayesian methods for meta-analysis7. Meta-regression 8. Individual participant data meta-analysis9. Multivariate meta-analysis10. Network meta-analysis11. Model Checking in meta-analysis12. Handling internal and external biases: quality and relevance of studies13. Publication and outcome reporting bias14. Control risk regression15. Multivariate meta-analysis of survival proportions16. Meta-analysis of correlations, correlation matrices and their functions17. The meta-analysis of genetic studies18. Meta-analysis of dose-response relationships19. Meta-analysis of diagnostic tests20. Meta-analytic approach to evaluation of surrogate endpoints21. Meta-analysis of epidemiological data, with a focus on individual participant data22. Meta-analysis of prediction models23. Using meta-analysis to plan further research
£58.89
Taylor & Francis Ltd 3D Image Reconstruction for CT and PET
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£24.51
Taylor & Francis Applied Epigenomic Epidemiology Essentials
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Taylor & Francis Applied Epigenomic Epidemiology Essentials
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Taylor & Francis Ltd Applied Biostatistical Principles and Concepts
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Taylor & Francis Ltd Applied Epidemiologic Principles and Concepts
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Taylor & Francis Ltd Simultaneous Global New Drug Development
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£142.50
Taylor & Francis Ltd Quantitative Methods for HIVAIDS Research
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£43.99
Taylor & Francis Ltd Biomechanical Aspects of Soft Tissues
Biomechanics applies the laws and techniques of mechanics in the study of biological systems and related phenomena. Biomechanics uses mathematical and computational tools such as model construction of musclo-skeletal system, body fluid circulation, to aid medical diagnosis, therapeutics and surgery planning, designing of prostheses and implants or in tissue engineering. Present book targets specific topics pertaining to the biomechanics of soft tissues. Subjects addressed includes solids and multi-species mixtures as open systems: a continuum mechanics perspective; electro-chemo-mechanical couplings: tissues with a fixed electric charge and growth of biological tissues.
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Taylor & Francis Ltd Noninferiority Testing in Clinical Trials
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Taylor & Francis Ltd Public Health Disease and Development in Africa
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Taylor & Francis Ltd Global Pandemics and International Law
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Taylor & Francis Ltd Interface between Regulation and Statistics in Drug Development
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Taylor & Francis Ltd Pandemics The Basics
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Taylor & Francis Ltd Virus Detection
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Taylor & Francis Ltd Bayesian Analysis of Infectious Diseases
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Taylor & Francis Ltd Climate Changes and Epidemiological Hotspots
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Taylor & Francis Ltd Bayesian Analysis of Infectious Diseases
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Taylor & Francis Ltd Absolute Risk Methods and Applications in Clinical Management and Public Health Monographs on Statistics and Applied Probability
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Taylor & Francis Ltd Cure Models
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Taylor & Francis Ltd Comparing and Contrasting the Impact of the COVID19 Pandemic in the European Union Routledge Studies in Political Sociology
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Taylor & Francis Ltd Traditional Ecological Knowledge and Global Pandemics Biodiversity and Planetary Health Beyond Covid19 Routledge Focus on Environment and Sustainability
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Taylor & Francis Ltd Traditional Ecological Knowledge and Global Pandemics
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Taylor & Francis COVID19
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Taylor & Francis COVID19
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Taylor & Francis COVID19
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Taylor & Francis COVID19
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Taylor & Francis Ltd Basic Statistics and Epidemiology
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Taylor & Francis Ltd Building a Platform for DataDriven Pandemic Prediction
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Taylor & Francis Ltd Building a Platform for DataDriven Pandemic Prediction
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Taylor & Francis Ltd Advanced Survival Models
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Taylor & Francis Ltd Analyzing Health Data in R for SAS Users
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Taylor & Francis Ltd Data Analysis with Competing Risks and Intermediate States
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Taylor & Francis Ltd Fundamentals of WastewaterBased Epidemiology Biomonitoring of Bacteria Protozoa COVID19 and Other Viruses
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Taylor & Francis Ltd Viruses and Society
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Taylor & Francis Ltd The Coronary Heart Disease Pandemic in the Twentieth Century
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Taylor & Francis Ltd Introductory Statistics for the Health Sciences
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Taylor & Francis Ltd Digital Therapeutics
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Taylor & Francis Ltd Monte Carlo in Heavy Charged Particle Therapy
Book SynopsisThis book explores the current difficulties and unsolved problems in the field of particle therapy and, after analysing them, discusses how (and if) innovative Monte Carlo approaches can be used to solve them. Each book chapter is dedicated to a different sub-discipline, including multi-ion treatments, flash-radiotherapy, laser-accelerated beams, nanoparticles effects, binary reactions to enhance radiobiology, and space-related issues. This is the first book able to provide a comprehensive insight into this exciting field and the growing use of Monte Carlo in medical physics. It will be of interest to graduate students in medicine and medical physics, in addition to researchers and clinical staff.Key Features: Explores the exciting and interdisciplinary topic of Monte Carlo in particle therapy and medicine Addresses common challenges in the field Edited by an authority on the subject, with chapter contributions from spTable of ContentsChapter 1: The Monte Carlo Method and Its Applications to Heavily Charged Particle Therapy. Chapter 2: Applications of Monte Carlo Calculations in Clinical Dosimetry of Proton and Ion Beams. Chapter 3: Solving Range Uncertainties with Gamma Prompt/Charged Particle Prompt. Chapter 4: Macroscopic and microscopic calculation approaches for LET calculations. Chapter 5: Low energy inelastic process in hadrontherapy. Chapter 6: Experimental Data of Nuclear Fragmentation for Validating Monte Carlo Modes: Present Availability and Lacks. Chapter 7: Quality assurance in particle therapy with PET. Chapter 8: Radioactive beams for ion therapy: Monte Carlo simulations and experimental verifications. Chapter 9: Monte Carlo and Microdosimetry in particle radiotherapy. Chapter 10: Monte Carlo to link RBE with radiation quality quantities. Chapter 11: Physical and Biological Impact of Projectile and Target Fragmentation. Chapter 12: Monte Carlo characterisation of nanoparticle radio-enhancement for hadron therapy. Chapter 13: Increasing particle therapy biological effectiveness by nuclear reaction-driven binary strategies. Chapter 14: Monte Carlo simulations for Targeted Alpha Therapy. Chapter 15: Experimental and modelling challenges in FLASH radiotherapy with Monte Carlo Methods. Chapter 16: Towards Multiple Ion Applications in Particle Therapy. Chapter 17: Monte Carlo for chemistry in radiation biology. Chapter 18: Recent developments in the TRAX particle track structure code. Chapter 19: Machine Learning for Monte Carlo Simulations. Chapter 20: Speed-up MC in charged particle applications. Chapter 21: Monte Carlo and Analytical codes for Dose planning and recalculation: limits and differential advantages.
£118.75
Taylor & Francis Ltd AIDS Drugs and Prevention
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Taylor & Francis Ltd Heredity and Infection The History of Disease Transmission 14 Routledge Studies in the History of Science Technology and Medicine
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Taylor & Francis Global Biosecurity Threats and Responses Contemporary Security Studies
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Taylor & Francis Approaching Multivariate Analysis 2nd Edition
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Taylor & Francis Epidemiological Criminology Theory to Practice Routledge Frontiers of Criminal Justice
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Taylor & Francis Speaking of Epidemics in Chinese Medicine
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Taylor & Francis Understanding the Politics of Pandemic Scares
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