Medical Uses of Statistics

by Bailar, John C.; Hoaglin, David C.

• ISBN13: 9780470439531
• ISBN10: 047043953X
• Edition: 3rd
• Format: Paperback
• Copyright: 2009-07-14
• Publisher: Wiley

Summary

Published by the New England Journal of Medicine, this book provides both the fundamental techniques and the state-of-the-art information for a clear and current understanding of the use of statistics in the fields of medicine, biostatistics and clinical research. The first and second editions of this book, published over a span of a quarter of a century, has been widely praised as a unique contribution to the field by a gratifying number of readers. Arising from the idea that readers of medicine need a clearer idea of how statistical techniques can be applied in current clinical studies, the editors have reorganized, revamped, and added to an already cogent presentation of recent developments, applicable methods, and best practices in this valuable third edition. Contributions from more than two-dozen distinguished statisticians and medical doctors More than half of the content is new, and the remaining material reflects the new developments in the area of medical statistics that have occurred since the last edition (in 1992). Numerous examples based on research taken straight from the pages of the New England Journal of Medicine Two new chapters on statistical methods in epidemiologic studies New chapters on analyses of randomized clinical trials, including linear regresstion, categorical data analysis, meta-analysis, subgroup analyses, and risk analysis Assists the readers in effectively interpreting published results in clinical research.With its extensive updates and accessible stype, this modernized new edition is an essentail resource for anyone working in medicine, clinical research, or any health-related field of study.

Author Biography

John C. Bailar III, MD, PhD, is Scholar in Residence at the National Academy of Sciences and Professor Emeritus at the University of Chicago. He served as statistical consultant for the New England Journal of Medicine for more than ten years and was chairman of the board of the National Institute of Statistical Sciences. Dr. Bailar has published numerous papers in the areas of epidemiology and scientific communications. DAVID C. HOAGLIN, PhD, is Principal Statistician at Abt Bio-Pharma Solutions, Inc., a global provider of integrated clinical, health economic, and commercialization solutions for the pharmaceutical, biotech, and medical device and diagnostics industries. In thirty years with Abt Associates Inc., he worked on studies and experiments in public health, income security, health services, housing, education, and law and justice. He has held faculty and research positions in statistics at Harvard University and also served for five years as core biostatistician for the Harvard Anesthesia Research Center. Dr. Hoaglin has published papers in exploratory data analysis, outliers, meta-analysis, surgery, anesthsesia, vaccination, and multiple sclerosis.

Table of Contents

Contributors	p. xi
Preface	p. xv
Preface to the Second Edition	p. xvii
Preface to the First Edition	p. xviii
Acknowledgments	p. xxi
Origins of Chapters	p. xxiii
Introduction	p. xxv
Broad Concepts and Analytic Techniques
Statistical Concepts Fundamental to Investigations	p. 1
Some Uses of Statistical Thinking	p. 21
Use of Statistical Analysis in the New England Journal of Medicine	p. 41
Design
Randomized Trials and Other Parallel Comparisons of Treatment	p. 51
Crossover and Self-Controlled Designs in Clinical Research	p. 91
The Series of Consecutive Cases as a Device for Assessing Outcomes of Interventions	p. 109
Biostatistics in Epidemiology: Design and Basic Analysis	p. 123
Analysis
p-Values	p. 175
Understanding Analyses of Randomized Trials	p. 195
Linear Regression in Medical Research	p. 239
Statistical Analysis of Survival Data	p. 277
Analysis of Categorical Data in Medical Studies	p. 291
Analyzing Data from Ordered Categories	p. 311
Communicating Results
Guidelines for Statistical Reporting in Articles for Medical Journals: Amplifications and Explanations	p. 325
Reporting of Subgroup Analyses in Clinical Trials	p. 343
Writing about Numbers	p. 353
Specialized Methods
Combining Results from Independent Studies: Systematic Reviews and Meta-Analysis in Clinical Research	p. 369
Biostatistics in Epidemiology: Advanced Methods of Regression Analysis	p. 399
Genetic Inference	p. 439
Identifying Disease Genes in Association Studies	p. 455
Risk Assessment	p. 467
Index	p. 483
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