Epidemiology and Medical statistics Books
Springer International Publishing AG Analysis of Epidemiologic Data Using R
Book SynopsisThis book addresses the description and analysis of occurrence data frequently encountered in epidemiological studies. With the occurrence of Covid-19, people have been exposed to the analysis and interpretation of epidemiological data. To be informed consumers of this information, people need to understand the nature and analysis of these data. Effort is made to emphasize concepts rather than mathematics. Subjects range from description of the frequencies of disease to the analysis of associations between the occurrence of disease and exposure. Those analyses begin with simple associations and work up to complex relationships that involve the control of extraneous characteristics. Analyses rely on the statistical software R, which is freeware in wide use by professional epidemiologists and other scientists.Table of ContentsIntroduction to R.- Measures of Disease Frequency.- Measures of Association.- 2x2 Tables.- Life Tables.- Control of Confounding.
£31.49
De Gruyter Der Corona Atlas
Book Synopsis
£77.35
Thieme Publishing Group Physical Therapy for Intervertebral Disk Disease:
Book SynopsisPatients with pain emanating from their spines represent some of the most frequent and challenging cases for physical therapists. Here is a comprehensive and practical introduction to the management of back pain and restricted spinal function caused by intervertebral disk damage. The authors provide evidence-based, clinically oriented strategies for the diagnosis and therapeutic treatment of disk injury in the lumbar, thoracic, and cervical spinal regions. The text gives an overview of research studies on the effects of physical therapy on back pain, step-by-step guidance on examination and conservative and postoperative physical therapy procedures, and detailed discussion of rehabilitation and prevention of further disk damage. Key Features: Extensive coverage of examination, from patient history to tests for assessing spinal movement to nerve conduction Precise instructions and useful pointers on treatment methods aid in daily practice Chapter on basic principles of anatomy, physiology, and epidemiology offer foundational knowledge Crucial information on approaches for rehabilitation and injury prevention, including strengthening, coordination exercises, and conditioning Case studies present clinical examples that guide the reader through the full course of therapy 70 clear line drawings illustrate how to maintain correct posture; avoid poor posture; and protect and train muscles, nerves, and joints Physical Therapy for Intervertebral Disk Disease is a complete guide to the diagnosis and physiotherapeutic treatment of problems resulting from intervertebral disk damage. Practitioners and students of physical therapy, rehabilitation medicine, and occupational therapy will read this book cover to cover and refer to it regularly when working to relieve back pain and restore full capacity in their patients.Table of ContentsChapter 1: Introduction Chapter 2: General Principles Chapter 3: Medical Diagnosis and Treatment Chapter 4: Diagnosis in Physical Therapy Chapter 5: Therapy Chapter 6: Lumbar Spine Chapter 7: Thoracic Spine Chapter 8: Cervical Spine Chapter 9: Rehabilitation and Prevention Chapter 10: Diseases Occurring in Association With Prolapsed Disks Chapter 11: Psychosocial Risk Factors Chapter 12: Selected Studies on the Topic of Spinal Disorders Chapter 13: Significance, Types, and Objectives of Clinical Studies
£65.08
Thieme Publishing Group Clinical Epidemiology of Orthopaedic Trauma
Book SynopsisUnique resource provides foundation for worldwide prevention, diagnosis, and treatment of orthopaedic fracturesClinical Epidemiology of Orthopaedic Trauma, Third Edition by renowned orthopaedic surgeon and researcher Yingze Zhang and an impressive cadre of contributors expands on the widely acclaimed prior editions. Leveraging an epidemiological database with the distinction of being the largest domestic and foreign sample volume of orthopaedic trauma, this remarkable book expands on the epidemiology of fractures in China, with national incidence rates new to this edition. It offers a wealth of information that will impact treatment planning, future allocation of resources in trauma care, and initiatives in preventive medicine, worldwide.Comprehensive in scope, the new edition provides unparalleled insights into the current state of Chinese orthopaedic surgery. The book features evaluation of every fracture seen and treated at a m
£153.90
Springer International Publishing AG New Advances in Statistics and Data Science
Book SynopsisThis book is comprised of the presentations delivered at the 25th ICSA Applied Statistics Symposium held at the Hyatt Regency Atlanta, on June 12-15, 2016. This symposium attracted more than 700 statisticians and data scientists working in academia, government, and industry from all over the world. The theme of this conference was the “Challenge of Big Data and Applications of Statistics,” in recognition of the advent of big data era, and the symposium offered opportunities for learning, receiving inspirations from old research ideas and for developing new ones, and for promoting further research collaborations in the data sciences. The invited contributions addressed rich topics closely related to big data analysis in the data sciences, reflecting recent advances and major challenges in statistics, business statistics, and biostatistics. Subsequently, the six editors selected 19 high-quality presentations and invited the speakers to prepare full chapters for this book, which showcases new methods in statistics and data sciences, emerging theories, and case applications from statistics, data science and interdisciplinary fields. The topics covered in the book are timely and have great impact on data sciences, identifying important directions for future research, promoting advanced statistical methods in big data science, and facilitating future collaborations across disciplines and between theory and practice.Table of Contents*Under attachments tab*
£59.99
Springer International Publishing AG Cancer and AIDS: Part IV: Future Perspectives
Book SynopsisThe lifestyles and socio-economic status that are prevalent in regions of the world with limited resources form the background for the unique features of neoplastic diseases in these areas, where the majority of the world population lives. The predominance of the world’s retroviral burden of in these areas further compounds the nature and challenges of the cancer there. Much of the international cancer literature covers the nature and challenges of the disease as seen in high-income regions of the world, thereby giving a skewed view of the global cancer challenges. As the low- and middle-income regions of the world transition from communicable to non communicable disease patterns, there is a need for a corresponding paradigm shift, with increased emphasis on what the world needs to know about non communicable diseases, including cancer, where the disease is hitherto poorly documented. The main goal of the proposed book is to contribute to this outcomes.Table of ContentsPart IV: Future Perspectives Chapter 10 – Strategies for progress Abstract Section 10.1.0: The role of international partnership in the development of global health systems Section 10.1.1: Models of humanitarian global outreach in health care Section 10.1.2: The concept of “convergence” and the future of health care research Section 10.1.3.0: The concept of global health Section 10.1.3.1: Models of global health partnership in cancer control Section 10.1.3.2: The tiered resource stratification framework of the Breast Health Global Initiative (BHGI) Network Section 10.1.3.3: ASCO’s resource-stratified guidelines for the management of invasive cervical cancer Section 10.1.3.4: NCCN framework for resource stratification for invasive cervical cancer Section 10.1.3.5: Resource-stratified approaches in the primary prevention of cervical cancer Section 10.1.3.5.1 ASCO resource-stratified guideline for the primary prevention of cervical cancer Section 10.1.3.6: Resource-stratified approaches in the secondary prevention of cervical cancer Section 10.1.3.4.1: Selected Global Health Activities for promoting cancer control/Health Volunteers Overseas (HVO) Section 10.1.3.4.2 Global Curriculum and Mentoring Program Section 10.1.3.4.3: Global Curriculum and Mentoring Program/International Development and Education Award Section 10.1.3.4.4: Proposal for recognizing global oncology as an academic field Section 10.2: Overcoming barriers to progress in the control of cancer and retroviral diseases, including HIV/AIDS Section 10.2.1: Prioritizing strategies for universal health coverage Section 10.2.1.1: mHealth Strategies for Universal Health Coverage Section 10.2.1.2: Community Health Insurance Coverage as a strategy for Universal Health Care Section 10.2.1.3: Innovation in provider training as a strategy in UHC Section 10.2.2: The role of politics in attainment of Universal Health Coverage Section 10.2.3: The role of science and engineering in human welfare Section 10.2.3.1: The role of science Section 10.2.3.1.1: Science advocacy Section 10.2.3.1.2: Science education in low- and middle-income countries Section 10.2.3.1.3 Examples of the transforming effect of science in LMICs Section 10.2.3.1.3.1 Impact of science on the emergence of South Korea Section 10.2.3.1.3.2: Impact of science on Middle-Eastern cooperation Section 10.2.3.1.3.3: Impact of the US-Cuba scientific diplomacy Section 10.2.3.1.3.4: Boosting science in Singapore Section 10.2.3.1.3.5: India boosts its ambitious space program Section 10.2.3.2: Transforming the practice of engineering to meet global health needs Section 10.2.3.3 Models in innovation with potentials for cancer and HIV/AIDS control in LMICs Section 10.2.3.3.1: Affordable, weather durable x-ray machine Section 10.2.3.3.2: Affordable cancer immunotherapy in Cuba Section 10.2.3.3.3: The smart village for rural electrification Section 10.2.3.3.4: HIV/AIDS control in China Section 10.3: The future of control of cancer and retroviral diseases Page 1055: Section 10.3.1: From the National Cancer Act to the 21st Century Cures Act Page 1059: Section 10.3.2: Advances in lung cancer prevention Page 1062: Section 10.3.3: Ending the HIV/AIDS pandemic Page 1063: Section 10.3.4: Finding a cure for AIDS – a possible convergence of cancer and HIV/AIDS researchIndex
£80.99
Springer Fachmedien Wiesbaden Einfache lineare Regression: Die Grundlage für
Book SynopsisDieses essential befasst sich mit der einfachen linearen Regression, der simpelsten Form von Regressionsmodellen, in der für die Modellbildung nur eine einzige Einflussvariable berücksichtigt wird. Leser finden in diesem Buch die Methode der kleinsten Quadrate zur Schätzung der Modellparameter, Residualanalysen zur Überprüfung der Modellannahmen sowie weitere statistische Verfahren zur Beurteilung des Modells. Zudem erfahren sie, wie das Modell als ein Prognoseinstrument eingesetzt werden kann. Somit erwerben Leser eine solide Grundlage zum Verständnis komplexer Regressionsansätze, bei denen mehrere Variablen die Zielgröße beeinflussen und nichtlineare Zusammenhänge vorliegen.Table of ContentsDefinition des einfachen Regressionsmodells.- Überprüfung der Modellvoraussetzungen.- Beurteilung des Modells durch den Korrelations- und den Determinationskoeffizienten.- Regressionsgerade als ein Instrument für eine Prognose.- Umkehrregression.
£11.77
Springer Fallzahlberechnung in der medizinischen
Book SynopsisMeinhard Kieser vermittelt anhand realer Beispiele die grundlegenden Prinzipien der Fallzahlberechnung und demonstriert deren Anwendung. Für die häufigsten Anwendungssituationen werden die entsprechenden Fallzahlberechnungsformeln hergeleitet. Einsteiger haben somit die Möglichkeit, die Grundlagen der Fallzahlplanung zu erlernen und einzuüben. Es werden außerdem die statistischen Hintergründe der Formeln und allgemeinere Zusammenhänge erläutert und Hinweise gegeben, was bei jeder Fallzahlberechnung beachtet werden sollte. Damit geht das essential deutlich über eine reine Formelsammlung hinaus und ist eine wertvolle Ergänzung für Personen, die bereits in der medizinischen Forschung tätig sind und Erfahrung bei der Fallzahlberechnung gesammelt haben.Table of ContentsDas Prinzip der Fallzahlberechnung.- Fallzahlberechnung für Zwei- und Mehr-Gruppen-Vergleiche bei normalverteilter und binärer Zielgröße.- Ausblick auf weitere Methoden zur Fallzahlberechnung in anderen Anwendungssituationen.- Hinweise auf Aspekte, die bei jeder Fallzahlberechnung beachtet werden sollten.
£11.77
Springer Fachmedien Wiesbaden Mathematical Modelling and Nonstandard Schemes
Book SynopsisThis book deals with the prediction of possible future scenarios concerning the COVID-19 pandemic. Based on the well-known SIR model by Kermack and McKendrick a compartment model is established. This model comprises its own assumptions, transition rates and transmission dynamics, as well as a corresponding system of ordinary differential equations. Making use of numerical methods and a nonstandard-finite-difference scheme, two submodels are implemented in Matlab in order to make parameter estimations and compare different scenarios with each other.Table of ContentsIntroduction.- The Severe Acute Respiratory Syndrome Corona Virus Type 2.- The SIR Model in Epidemic Modelling.- The SARS-CoV-2-fitted SEIR Model.- Model Specifications.- Parameter Estimation in MAT LAB.- Markov Chain Epidemic Models.- R´esum´.
£43.99
Springer Fachmedien Wiesbaden Charakterisierung des Wirkmechanismus von
Book SynopsisDie auftretenden Varianten von SARS-CoV-2 beschleunigen durch ihre höheren Übertragungsraten die globale COVID-19-Pandemie, wodurch dringend neue therapeutische Angriffsziele benötigt werden. Hierbei wurde die antivirale Wirkung von Fluoxetin - einem Antidepressivum - gegen SARS-CoV-2 entdeckt. Mithilfe biochemischer und bildgebenden Methoden wurde der antivirale Wirkmechanismus von Fluoxetin näher analysiert und die saure Ceramidase als SARS-CoV-2 Wirtsfaktor charakterisiert. Veröffentlichte Studien zeigten, dass auch Aspirin eine antivirale Wirkung gegen Erkältungsviren, wie Rhinoviren und Influenzaviren zeigt. Diese antivirale Wirkung wurde in Bezug auf SARS-CoV-2 in Zellkultur und einem patienten-nahen 3D-Infektionsmodell untersucht und bestätigt. Um die Pathologie einer SARS-CoV-2-Infektion zu verstehen, wurde der Eintrittsweg des Virus in das Gehirn untersucht. Im Gegensatz zu anderen Viren überwindet SARS-CoV-2 die Blut-Hirnschranke ohne T-Zellen oder Makrophagen. Ebenso wurde der Einbau eines lipophilen Fluoreszenzfarbstoffs in die Virusmembran etabliert, womit die direkte Markierung verschiedener Viren trotz ihrer unterschiedlicher Membranzusammensetzung möglich ist. Mit superauflösender Mikroskopie (SIM) wurde der virale Eintritt verschiedener umhüllter Viren visualisiert.Table of ContentsEinleitung.- Materialien.- Methoden.- Ergebnisse.- Diskussion.- Eigene Publikationsliste.- Literaturverzeichnis.
£47.49
Springer Fachmedien Wiesbaden Parametrische Statistik: Verteilungen, maximum likelihood und GLM in R
Book SynopsisBeispielreich baut dieses Buch Schritt für Schritt die statistischen Grundlagen moderner Datenanalysen auf. Im Gegensatz zu anderen einführenden Werken legt dieses Buch großen Wert auf einen umfassend gespannten Bogen, einen roten Faden, der alle Methoden zusammenführt. Dabei werden klassische statistische Methoden (etwa t-Test oder multiple Regression) als Spezialfall des Generalisierten Linearen Modells entwickelt. Entsprechend legt das Buch zunächst eine Grundlage in beschreibender Statistik, Verteilungen und maximum likelihood, aus der dann alle anderen Verfahren abgeleitet werden (ANOVA, multiple Regression). Jeder Schritt ist auf zwei Kapitel verteilt: Im ungradzahligen Kapitel wird anhand von vielen Beispielen und Abbildungen die Idee der statistischen Herangehensweise erläutert. Im sich daran anschließenden gradzahligen Kapitel wird die Umsetzung in der freien Statistiksoftware R gezeigt. Ein Kapitel zur Wissenschafts- und Forschungstheorie und eines zum Design von Experimenten und Stichprobeverfahren komplettiert dieses einleitende Werk. Das Buch legt großen Wert auf Verständlichkeit und Umsetzung. Mathematische Herleitungen treten demgegenüber stark in den Hintergrund. Jedes Kapitel enthält explizit ausgewiesene Lerninhalte, die durch Übungen zu jedem R-Kapitel geprüft werden können. Ein ausführliches Schlagwortverzeichnis inklusive der R-Funktionen macht das Buch auch als Nachschlagewerk nutzbar. Die zweite Auflage wurde ergänzt um Schätzung mittels der Momentenmethode, Residuendiagnostik für nicht-normalverteilte Daten und die erschöpfende Modellsuche.Table of ContentsStichprobenstatistik.- Stichprobenstatistiken in R.- Verteilungen, ihre Parameter und deren Schätzer.- Verteilungen, Parameter und Schätzer in R.- Korrelation und Assoziation.- Korrelation und Assoziation in R.- Regression - Teil I.- Regression in R Teil I.- Regression Teil II.- Regression in R Teil II.- Das Lineare Modell: t-Test und ANOVA.- Das Lineare Modell: t-Test und ANOVA in R.- Hypothesen und Tests.- Experimentelles Design.- Multiple Regression.- Multiple Regression in R.- Ausblick.
£28.49
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Medical Decision Making: A Health Economic Primer
Book SynopsisThis textbook offers a comprehensive analysis of medical decision-making under uncertainty by combining test information theory with expected utility theory. The authors show how the parameters of Bayes’ theorem can be combined with a value function of health states in order to arrive at informed test and treatment decisions in the face of diagnostic and therapeutic risks. Distinguishing between risk-neutral, risk-averse, and prudent decision-makers, they demonstrate the effects of risk preferences on medical decisions. Furthermore, they analyze individual and multiple tests as well as diagnostic models in which the decision-maker chooses the test outcome. The consequences of test and treatment decisions for the patient are encompassed by quality-adjusted life years (QALYs) and the standard economic model, which applies the willingness to pay for health approach. Lastly, non-expected utility models of choice under risk and uncertainty are presented. Although these models can explain some of the test and treatment decisions observed, they are less suitable for normative analyses aimed at providing guidance on medical decision-making. This third edition provides extensively revised versions of all chapters and reflects recent innovations in medical decision-making such as decision curve analysis. New chapters focus on the health economics of and revealed preferences in medical decisions. The book is intended for students of (health) economics and medicine as well as for medical decision-makers and physicians dealing with uncertainty in their test and treatment decisions.Table of ContentsChapter 1. Introduction.- Chapter 2. Basic Tools in Medical Decision Making.- Chapter 3. Basic Tools in Economics: Preferences, Expected Utility, Risk Aversion and Prudence.- Chapter 4. Treatment Decisions.- Chapter 5. Test and Treatment Decisions.- Chapter 6. Prudence and Medical Decision Making.- Chapter 7. Optimal Strategy for Multiple Diagnostic Tests.- Chapter 8. The Optimal Cut-off of a Diagnostic Test.- Chapter 9. The Total Value of Information of a Test.- Chapter 10. The Economics of Medical Decision Making.- Chapter 11. Valuing Health and Life.- Chapter 12. Revealed Preference in Medical Decisions.- Chapter 13. Imperfect Agency and Non-Expected Utility Models
£61.74
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Weshalb auf die Wissenschaft hören?: Antworten
Book SynopsisPandemie und Klimakrise rufen die herausragende Rolle der Wissenschaft und des wissenschaftlichen Wissens für Informierung und Orientierung der Gesellschaft sowie für die Beratung der Politik bei der Ausrichtung praktischer Maßnahmen ins Bewusstsein. In diesem Zusammenhang wird die Frage virulent, weshalb der Wissenschaft diese herausgehobene Rolle zukommt. Dass diese Frage trotz der vielbeschworenen Autorität der Wissenschaft alles andere als trivial ist, zeigt sich daran, dass Wissenschaftsskepsis und Relativierung wissenschaftlicher Resultate bis hin zur Wissenschaftsleugnung Einfluss gewinnen, sobald es um konkrete Fragen der Ausrichtung gesellschaftlichen Handelns an der Wissenschaft geht. Wodurch ist also Vertrauen in die durch die Wissenschaft ermittelten Fakten, die in ihren Modellen entworfenen Szenarien und ihre Ratschläge an Gesellschaft und Politik gerechtfertigt? Weshalb soll man der Wissenschaft in besonderem Maße vertrauen und auf ihren Ratschlag hören?Insgesamt sollen die Beiträge des Buches Aufschluss darüber geben, wodurch die Vertrauenswürdigkeit der Wissenschaft in ihrer modernen Form gerechtfertigt ist und an welche Bedingungen ihre besondere Rolle in der Gesellschaft geknüpft ist. Was kann Wissenschaft für die Gesellschaft leisten und wo liegen die Grenzen ihrer orientierenden Rolle? Was heißt es „auf die Wissenschaft zu hören“ und was sind die Bedingungen dafür, dass Menschen in einer demokratischen Gesellschaft sich wissenschaftliche Erkenntnisse aneignen und sie als Richtschnur für ihr Handeln verwenden?Table of Contents1 Glaubwürdigkeit der Wissenschaft.- 2 Über den Erfolg der Physik – Erkenntnisgewinn aus Empirie und Theorie.- 3 Chancen und Grenzen mathematischer Modelle in der Pandemiebewältigung.- 4 Klimawandel – mit dem Rücken zur Wand.- 5 Handlungsoptionen für den Klimaschutz im 21. Jahrhundert.- 6 Konzeptuelle Fragen in den Grundlagen der Klimawissenschaften.- 7 Weshalb wir Wissenschaften im Plural zur Entscheidungsfindung brauchen: Das Beispiel Energiewende.- 8 Wahrheit als Wert und Ziel der Wissenschaft?.- 9 Politikberatung und Wissenschaft.- 10 Wie statistischer Erkenntnisgewinn die Ethik verändert.- 11 Vertrauen in die Wissenschaft – was ist es und welche Grundlage hat es?.
£19.99
Spektrum Akademischer Verlag Methoden der statistischen Inferenz: Likelihood
Book SynopsisVorwort.- 1 Einführung.- 2 Likelihood.- 3 Frequentistische Eigenschaften der Likelihood.- 4 Likelihood-Inferenz bei vektoriellem Parameter.- 5 Bayer-Inferenz.- 6 Modellwahl.- 7 Numerische Methoden zur Bayes-Inferenz.- 8 Prognose.- A Ergänzungen aus der Stochastik.- B Ergänzungen aus der linearen Algebra und Analysis.- C Ergänzungen aus der Numerik.- Literaturverzeichnis.- Index.
£31.34
New India Publishing Agency Applied Statistical Techniques
Book SynopsisThe book is a reference book useful for undergraduates, postgraduates and research scholars of biological, ecological and medical sciences. The purpose of writing this book is to provide an accessible reference book on statistical techniques whose proper use will help students in withdrawing accurate results and able to interpret them logically. The methods described in this book are, of course, the same as those used in different disciplines, but things are made so user's friendly that even general readers will find this book useful. The s of the book have been organized in such a way that suits the course curriculum of various universities. In this book enough materials are provided to cover statistical techniques with examples which are ecological and biological based.Table of Contents1. Introduction to Statistics 2. Organisation of Data 3. Data Transformation 4. Descriptive Statistics: Measurement of Central Tendency 5. Descriptive Statistics: Measures of Dispersion 6. Descriptive Statistics: Data Distributions 7. Inferential Statistics: Confidence Intervals 8 Inferential Statistics: Parametric Tests of Significance 9 Inferential Statistics: Non-Parametric Tests of Significance 10 Inferential Statistics: Correlation and Regression 11 Presentation of Data 12 Choosing A Statistical Test
£86.49
Springer Verlag, Singapore Considerations for a Post-COVID-19 Technology and
Book SynopsisCOVID-19 has made differential impacts on countries and communities around the world. China, where COVID-19 started, has developed and utilized different types of technologies, including both traditional and disruptive technologies, to address the pandemic risks. Also, there have been many innovations in applying technologies in different contexts during the pandemic as well as in the post-pandemic recovery and preparedness aspects. This book covers some of these technological developments as well as the governance mechanisms for developing a technology and innovation ecosystem in a post-COVID-19 context in China. The book also explores the experiences and lessons learned from different types of technologies and their implementation in the post-COVID-19 period and highlights how they can be useful to prepare for future calamities.Table of ContentsChapter 1: Overview of Post COVID Scenario in China Chapter 2: Innovation and Technology Ecosystem: Historical Perspectives Chapter 3: Drones Activity in Epidemic Prevention and Prospects in the Post COVID-19 Chapter 4: Social Media Development and Application During Pandemic and Post-Pandemic from the Perspectives of Recovery and Preparedness Chapter 5: Towards a Digital China Through Digital Economy Chapter 6: Big Data and Its Implication in China Chapter 7: Robotics and Its Advancement in Modern China Chapter 8: Artificial Intelligence and its Importance in Post COVID-19 China Chapter 9: 5G and Its Implication to Communication in China Chapter 10: Evolution from IoT to IoE Era in China Chapter 11: Going Beyond the “Norm” in Technology and Innovation Apparatus in Emergency Situation: A Post COVID-19 Society
£98.99
Springer Verlag, Singapore Epidemiologic Research on Real-World Medical Data
Book SynopsisThis book analyzes the development of medical big data projects in Japan.Japan is experiencing unprecedented population aging, and labor productivity has decreased accordingly. Big data analysis of the Japanese medical real-world database (RWD) has the potential to tackle this issue.To allow readers to gain an understanding of Japanese medical big data analysis, the book discusses the original Japanese system that generates medical RWDs in the hospital medical records system, the nationwide standardized health checkup system, and the public medical insurance system in Japan.After introducing four major big data projects in the healthcare–medical field in Japan, the book explains the importance of creating information standards to maintain data quality and to analyze medical big data. It enables readers to analyze which standards are installed in which RWDs, how the standards are maintained, and which issues are prevalent in Japan.This book also describes the ethical processes involved in big data projects involving medical RWDs in Japan.Table of Contents Overview NDB (National Database) MID-NET (Medical Information Database Network) DPC (Diagnosis Procedure Combination) Disease Registration Cohort Study with EMR(SS-MIX2) Standard Code Mapping and Data Quality Phenotyping Data Analysis on Real World Data Ethical Issues of Data Secondary Use in Japan
£37.99
Springer-Verlag GmbH Tomato Leaf Curl New Delhi Virus ToLCNDV
£161.99
Springer Verlag, Singapore Statistical Methods in Human Genetics
Book SynopsisThis book provides an overview of statistical concepts and basic methodology for the study of genetics of human traits and diseases. It attempts to provide a step-by-step description of problem identification, study design, methodology of data collection, data exploration, data summarization and visualization, and more advanced analytical methods for inferring genetic underpinnings of human phenotypes. The book provides codes in R programming language for implementation of most of the statistical methods described, which will enable practitioners to perform analysis of data on their own, without having to mold the data to fit the requirements of commercial statistical packages. Useful to anyone engaged in studies to understand and manage good health, the book is a useful guide for sustainable development of humankind. Primarily intended for practicing biologists especially those who carry out quantitative biological research, in particular, human geneticists, the book is also helpful in classroom teaching.Table of ContentsIntroduction to analysis of human genetic data.- Basic understanding of single gene expression data.- Basic probability theory and inference.- Analysis of single gene expression data.- Analysis of gene expression data in a dependent set up.- Tying genomes with disease.- Some extensions of genetic association study.- Exploring multivariate data.
£87.99
Taylor & Francis The Use Of Statistics In Forensic Science
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£209.00
Taylor & Francis Ltd Models for MultiState Survival Data
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Taylor & Francis Ltd Handbook of Multiple Comparisons
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Taylor & Francis Ltd Advanced Survival Models Chapman HallCRC Biostatistics Series
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Taylor & Francis Ltd Controlled Epidemiological Studies
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Taylor & Francis Ltd Living in the Shadows of Chinas HIVAIDS Epidemics Sex Drugs and Bad Blood Routledge Contemporary China Series
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Taylor & Francis Health of South Asians in the United States
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Taylor & Francis Ltd The Multiplayer Classroom
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Taylor & Francis Biostatistics in Public Health Using STATA
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Taylor & Francis Ltd Modeling to Inform Infectious Disease Control Chapman HallCRC Biostatistics
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Taylor & Francis Ltd Viral Hemorrhagic Fevers
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Taylor & Francis Ltd Basic Introduction to Bioelectromagnetics
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Taylor & Francis Ltd Geocoding Health Data The Use of Geographic Codes in Cancer Prevention and Control Research and Practice
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Taylor & Francis Ltd Applied Statistical Designs for the Researcher
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Taylor & Francis Ltd Causal Analysis in Biomedicine and Epidemiology Based on Minimal Sufficient Causation 9 Corrosion Technology
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Taylor & Francis Ltd Biomathematics Statistics and NanoTechnologies
Book SynopsisFinding effective methods for mosquito control remains one of the great global challenges facing this generation. Bio-mathematics, Statistics and Nano-Technologies: Mosquito Control Strategies brings together experts from a large array of disciplines in order to provide a comprehensive overview of cutting-edge techniques to model, analyse and combat mosquito-transmitted vector-borne diseases. Features Includes multiple case studies Suitable for scientists and professionals working on methods for mosquito control and epidemiology Provide a much-needed focal point for interdisciplinary discussion Trade Review"I am delighted to see the outputs of this European Union funded collaborative effort in this engaging book format, that is well targeted for both entomology students and vector control practitioners and demonstrates to those across a range of other disciplines how they might engage productively in the debate on how we evolve insect control over the next decades."—Professor Janet Hemingway, from the ForewordTable of Contents1. Introduction and Overview. Section I. Control of Mosquitoes and Their World: An Overview. 2. Practical Control Methods and New Techniques for Mosquito Control. 3. Concepts of the Best Management Practices for Integrated Pest, Mosquito, and Vector Management. 4. Overview of Personal Protection Measures Through the Innovative Use of Repellent-Textiles. 5. Biology, Surveillance and Control of Mosquito Vectors. Section II. Mathematical Modelling Immunity: An Overview based on Malaria. 6. Models of Acquired Immunity to Malaria: A Review. Section III. Mathematical Epidemiology including Mosquito Dynamics and Control Theory. 7. Multi-strain Host-vector Dengue Modelling: Dynamics and Control. 8. Mathematical Models and Optimal Control in Mosquito Transmitted Diseases. Section IV. Topological Studies: Topology Meets Mosquito Control. 9. On The Shape and Design of Mosquito Abatement Districts. Section V. Chemometric and Mathematical Approach for Modelling and Designing Mosquito Repellents. 10. A Multiplatform Chemometric Approach to Molecular and Mathematical Modeling of Mosquito Repellents. Section VI. Pharmacy Meets Mosquito Control: Using Pharmacological Tools Combating Mosquito Transmitted VBDs. 11. Pharmacological Approach to Combat Mosquito Transmitted Malaria. Section VII. Using Natural Oils Combatting Mosquitos: An Overview. 12. Plant based Repellents: Green Mosquito Control. 13. Micrcencapsulation of Essential Oils for Antimicrobial Function and Mosquito Repellency. Section VIII. Textiles and Paints as Mosquito Control Tools. 14. Mosquito Repellent against Anopheles SPP. and Aedes Aegypti on Cotton Fabric. 15. Silica-Based Organic-Inorganic Hybrid Treatments as Anti-Mosquito Textile Finishing. 16. Cotton and Polyester Fabrics Plasma Coated with Hydrogenated Amorphous Carbon Films. Section IX. Testing Methods for Treated Textiles with Mosquito-Repellents: An Overview. 17. Testing Methods for Mosquito-Repellent Treated Textiles. Section X. Case Studies: Putting the Knowledge into Action. 18. A Case Study: How the Rephaiah Project Combats Malaria in Young Children. 19. Strengthening the control of mosquito vectors in Cabo Verde; New Approaches to Improve Intervention Strategies.
£128.25
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
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