Medical Biostatistics, Second Edition

Medical Biostatistics, Second Edition

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Description

Emphasizing statistical concepts used in medicine, the interpretation of methods, and applications, Medical Biostatistics, Second Edition shows how biostatistical methods are important tools in managing uncertainties in medicine and the health sciences. With coverage ranging from elementary topics, such as mean and standard deviation, to advanced approaches, such as logistic regression and multivariate methods, this edition is even more far-reaching in scope than its predecessor. New to the Second Edition Full chapters on clinical trials, observational studies, laboratory experiments, survival analysis, and logistic regression A new chapter on clinimetrics and evidence-based medicine Expanded discussions on epistemic uncertainties, crossover designs, equivalence trials and studies, hazard functions, and the log-rank test The introduction of research evidence, multilevel regression, classification, and regression trees at an elementary level Sample size formulas for relative risk, odds ratio, and survival studies Numerous additional examples from contemporary medical literature Numbered steps for the many procedures and remarks Requiring only high school algebra, this text enables a solid understanding of the statistical concepts required to critically examine medical literature, scientifically plan and carry out medical investigations, and meaningfully analyze data.show more

Product details

  • Electronic book text | 824 pages
  • Taylor & Francis Ltd
  • Chapman & Hall/CRC
  • London, United Kingdom
  • Revised
  • 2nd Revised edition
  • 152 Tables, black and white; 87 Illustrations, black and white
  • 1584888881
  • 9781584888888

Table of contents

Preface Medical Uncertainties Uncertainties in Health and Disease Uncertainties in Medical Research Uncertainties in Health Planning and Evaluation Management of Uncertainties: About This Book Basics of Medical Studies Study Protocol Types of Medical Studies Data Collection Nonsampling Errors and Other Biases Sampling Methods Sampling Concepts Common Methods of Random Sampling Some Other Methods of Sampling Some Examples of Sample Surveys Designs for Observational Studies Prospective Studies Retrospective Studies Cross-Sectional Studies Comparative Performance of Prospective, Retrospective, and Cross-Sectional Studies Medical Experiments Basic Features of Medical Experiments Design of Experiments Choice and Sampling of Units for Laboratory Experiments Clinical Trials Therapeutic Trials Issues in Clinical Trials Trials Other Than for Therapeutics Numerical Methods for Representing Variation Types of Measurement Tabular Presentation Rates and Ratios Central and Other Locations Measuring Variability Presentation of Variation by Figures Graphs for Frequency Distribution Pie, Bar, and Line Diagrams Special Diagrams in Health and Medicine Charts and Maps Some Quantitative Aspects of Medicine Some Epidemiological Measures of Health and Disease Reference Values Measurement of Uncertainty: Probability Validity of Medical Tests Clinimetrics and Evidence-Based Medicine Indicators, Indexes, and Scores Clinimetrics Evidence-Based Medicine Measurement of Community Health Indicators of Mortality Measures of Morbidity Indicators of Social and Mental Health Composite Indexes of Health Confidence Intervals, Principles of Tests of Significance, and Sample Size Sampling Distributions Confidence Intervals P-Values and Statistical Significance An Initial Debate on Statistical Significance Sample Size Determination in Some Cases Inference from Proportions One Qualitative Variable Proportions in 2 x 2 Tables Analysis of R x C Tables (Large n) Three-Way Tables Relative Risk and Odds Ratio Relative and Attributable Risks (Large n) Odds Ratio Stratified Analysis and Sample Size Inference from Means Comparison of Means in One and Two Groups (Gaussian Conditions): Student's t-Test Comparison of Means in Three or More Groups (Gaussian Conditions): ANOVA F-Test Non-Gaussian Conditions: Nonparametric Tests for Location When Significant Is Not Significant Relationships: Quantitative Data Some General Features of a Regression Setup Linear Regression Models Some Issues in Regression Measuring the Strength of a Quantitative Relationship Assessment of Agreement Relationships: Qualitative Dependent Binary Dependent: Logistic Regression (Large n) Inference from Logistic Coefficients Issues in Logistic Regression Some Models for Qualitative Data Strength of Relationship in Quantitative Variables Survival Analysis Life Expectancy Analysis of Survival Data Issues in Survival Analysis Simultaneous Consideration of Several Variables Scope of Multivariate Methods Dependent and Independent Sets of Variables Identification of Structure in the Observations Quality Considerations Statistical Quality Control in Medical Care Quality of Measurements Quality of Statistical Models: Robustness Quality of Data Statistical Fallacies Problems with the Sample Errors in Presentation of Findings Inadequate Analysis Misinterpretation Appendix 1: Statistical Software General Purpose Statistical Software Special Purpose Statistical Software Appendix 2: Some Statistical Tables Index References appear at the end of each chapter.show more

Review quote

"...The 2nd edition contains a number of new, expanded or revised topics, including full chapters on clinical trials, observational studies, survival analysis and logistic regression. ...The explanations given are clear and well written. The concepts are well illustrated with real examples. ...this is a comprehensive and thoughtful introductory book on biostatistics. ..."-Andrew Hayen, University of Sydney, Australia, Statistics in Medicine, 2010, 29 "The book contains a fairly comprehensive introduction of basic statistical concepts and methods used in medical and health sciences. The basic idea is to give clear verbal explanations with good examples, avoiding heavy mathematical definitions or formulations. My opinion is that the author has succeeded very well in this challenging task. By the aid of the book, it should be relatively easy to get the main ideas, and if deeper understanding is needed, a list of further references is provided to each topic. ... I can easily recommend this book for persons working in the area of medical biostatistics."-International Statistical Review (2009), 77, 2 "The strength of this book is the range of topics, including research design and statistical methods for data analysis, and the fact that it focuses on conceptual understanding. The book contains adequate mathematical explanation, without going beyond the capability or interest of the intended audience. ... contains much useful information ... ." -Marc Levine, Faculty of Pharmaceutical Sciences, University of British Colombia, Canadian Journal of Hospital Pharmacy, Vol. 61, No. 1, January-February 2008 "In addition to thorough coverage of basic biostatical concepts and methods, this updated edition of Medical Biostatistics is enhanced with complete chapters on clinical trials, observational studies, laboratory experiments, survival analysis, and logistic regression ... Medical Biostatistics is an indispensable textbook and a core addition to academic library and medical school research and reference collections." -James A. Cox, Editor-in-Chief, Midwest Book Review, April 2009 Praise for the First Edition "The book covers a wealth of information ranging from medical uncertainties to statistical fallacies. ... a tour of the biostatistical field in clear and intelligent language..." -Journal of the Royal Statistical Society, Vol. 52, 2003 "To clinicians and other medical and health professionals, it will be of great help in planning and conducting investigational studies and in critically interpreting the medical literature, which is becoming increasingly statistical..." -Journal of the American Statistical Association, Vol. 97, 2002 "There is plenty of good advice about practical matters of presentation and interpretation, which, together with the chapter on statistical fallacies, make the book worthwhile reading for the user of biostatistics who may need such guidance..." -Australian and New Zealand Journal of Statistics, Vol. 44, 2002 "This book contains state-of-the-art statistical methods with examples and references to planning of medical data collection, analyzing and interpreting the data..." -Journal of Statistical Computation and Simulation, Vol. 74, 2004 "This book is a serious attempt to medicalise the science of biostatistics and discuss statistical methods entirely from the perspective of medical and health professionals..." -Resources for Teaching Statistics "A very complete book on all aspects of medical biostatistics: probably the most complete book on biostatistics we have seen." -Analyse-itshow more