Medical Biostatistics, Third Edition: 3rd Edition (Hardback) book cover

Medical Biostatistics, Third Edition

By Abhaya Indrayan

© 2013 – Chapman and Hall/CRC

1,024 pages | 113 B/W Illus.

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Hardback: 9781439884140
pub: 2012-08-07
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pub: 2012-07-19
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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 interest.


"… 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.


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


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


Appendix A: Statistical Software

Appendix B: Some Statistical Tables

Appendix C: Software Illustrations

About the Originator

About the Series

Chapman & Hall/CRC Biostatistics Series

Learn more…

Subject Categories

BISAC Subject Codes/Headings:
MATHEMATICS / Probability & Statistics / General
MEDICAL / Biostatistics