Medical Biostatistics

Medical Biostatistics

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Encyclopedic in breadth, yet practical and concise, Medical Biostatistics, Third Edition focuses on the statistical aspects of medicine with a medical perspective, showing the utility of biostatistics as a tool to manage many medical uncertainties. The author concludes "Just as results of medical tests, statistical results can be false negative or false positive". This edition provides expanded coverage of topics and includes software illustrations. The author presents step-by-step explanations of statistical methods with the help of numerous real-world examples. Guide charts at the beginning of the book enable quick access to the relevant statistical procedure, and the comprehensive index makes it easier to locate terms of more

Product details

  • Hardback | 1024 pages
  • 162.56 x 236.22 x 50.8mm | 1,474.17g
  • Taylor & Francis Ltd
  • Chapman & Hall/CRC
  • Boca Raton, FL, United States
  • English
  • Revised
  • 3rd Revised edition
  • 113 black & white illustrations, 226 black & white tables
  • 1439884145
  • 9781439884140
  • 1,238,587

Review quote

"... the author has very well succeeded to make this edition more complete and useful. ... the book is clearly written and easy to read and comprehend the various statistical and methodological issues and their applicability. ... I strongly feel that this book is an important source to acquire the desired skills regarding biostatistical applications, with a focus on basic principles, applications, and interpretation. Also, one may find it equally helpful in understanding any research article and its critical appraisal." -ISCB News, December 2014 "The third edition of Medical Biostatistics presents an almost complete reference for medical and biostatistics professionals, covering many topics in introductory and intermediate biostatistics. ... a good resource for an undergraduate course in biostatistics or related fields. ... The strengths of the book are the examples used throughout and the comprehensive coverage in terms of number of topics, which makes the book look like an encyclopedia. It is a great reference for a researcher in the medical or biostatistics field who is not concerned about mathematical derivations." -Morteza Marzjarani, Journal of the American Statistical Association, March 2014 "With its focus on in-depth medical and health applications and conceptual understanding of biostatics, this book is highly recommended to medical and other health science researchers who desire to better understand medical literature or for improved interpretation of their results for publications and presentations. ... a worthy reference book that each medical and health researcher should have a copy of in his or her personal library. Additionally, with the vast number of real-life medical-based examples, this book can also serve as useful supplemental reading for an applied graduate-level course on medical or health statistics." -Yongzhao Shao, Journal of Biopharmaceutical Statistics, 24, 2014 "The most impressive feature of the book is its broad scope; it covers most of the topics that are commonly used in epidemiology and biostatistics. ... a well-written and well-organized book designed for researchers and professionals in the fields of medicine and health. ... Numerous medical examples will help readers understand the way statistics is used in medicine." -Biometrics, December 2013 Praise for the Second Edition: 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, 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, 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, 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

Table of contents

Medical Uncertainties Role of Biostatistics 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 Designs for Observational Studies Some Basic Concepts 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 Experiments6 Clinical Trials Therapeutic Trials Issues in Clinical Trials Trials Other than 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 Search for the Best Threshold of Continuous Test: ROC Curve 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 Assessing Gaussian Pattern 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 Assessment of Association in Three-Way Tables Relative Risk and Odds Ratio Relative and Attributable Risks (Large n) Odds Ratio Stratified Analysis, Sample Size, and Meta Analysis Inference from Means Comparison of Means in One and Two Groups (Gaussian Conditions): Student 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 Linear Regression Measuring the Strength of Quantitative Relationship Assessment of Quantitative Agreement Relationships: Qualitative Dependent. Binary Dependent: Logistic Regression (Large n) Inference from Logistic Coefficients Issues in Logistic Regression Some Models for Qualitative Data and Generalizations Strength of Relationship in Qualitative 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 Inadequate Analysis Errors in Presentation of Findings Misinterpretation Appendix A: Statistical Software Appendix B: Some Statistical Tables Appendix C: Software Illustrationsshow more