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 previously held the positions as Chair 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., where he has spent thirty years working 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 Anaesthesia Center. Dr. Hoaglin’s publications have ranged across diverse areas of methodology and application including exploratory data analysis, outliers, meta-analysis, surgery, anesthesia, vaccination, and multiple sclerosis.

Contributors
Preface
Preface to the Second Edition
Preface to the First Edition
Acknowledgments
Origins of Chapters
Introduction
Broad Concepts And Analytic Techniques.
Statistical Concepts Fundamental to Investigations
Some Uses of Statistical Thinking
Use of Statistical Analysis in the New England Journal of Medicine
Design.
Randomized Trials and Other Parallel Comparisons of Treatment
Crossover and Self-Controlled Designs in Clinical Research
The Series of Consecutive Cases as a Device for Assessing Outcomes of Interventions
Biostatistics in Epidemiology: Design and Basic Analysis
Analysis.
P-values
Understanding Analyses of Randomized Trials
Linear Regression in Medical Research
Statistical Analysis of Survival Data
Analysis of Categorical Data in Medical Studies
Analyzing Data from Ordered Categories
Communicating Results.
Guidelines for Statistical Reporting in Articles for Medical Journals
Reporting of Subgroup Analyses in Clinical Trials
Writing about Numbers
Specialized Methods.
Combining Results from Independent Studies: Systematic Reviews and Meta-Analysis in Clinical Research
Biostatistics in Epidemiology: Advanced Methods of Regression Analysis
Genetic Inference
Identifying Disease Genes in Association Studies
Risk Assessment
Index
Table of Contents provided by Publisher. All Rights Reserved.

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