InhaltsangabeContributors. Preface. Preface to the Second Edition. Preface to the First Edition. Acknowledgments. Origins of Chapters. Introduction. SECTION I: BROAD CONCEPTS AND ANALYTIC TECHNIQUES. Chapter 1 Statistical Concepts Fundamental to Investigations (Lincoln E. Moses). Chapter 2 Some Uses of Statistical Thinking (John C. Bailar III). Chapter 3 Use of Statistical Analysis in the New England Journal of Medicine (Shilpi Agarwal, Graham A. Colditz, and John D. Emerson). SECTION II: DESIGN. Chapter 4 Randomized Trials and Other Parallel Comparisons of Treatment (Nancy E. Mayo). Chapter 5 Crossover and Self-Controlled Designs in Clinical Research (John C. Bailar III, Thomas A. Louis, Philip W. Lavori, and Marcia Polansky). Chapter 6 The Series of Consecutive Cases as a Device for Assessing Outcomes of Interventions (Lincoln E. Moses). Chapter 7 Biostatistics in Epidemiology: Design and Basic Analysis (Mark S. Goldberg). SECTION III: ANALYSIS. Chapter 8 pValues (James H. Ware, Frederick Mosteller, Fernando Delgado, Christl Donnelly, and Joseph A. Ingelfinger). Chapter 9 Understanding Analyses of Randomized Trials (Nancy E. Mayo). Chapter 10 Linear Regression in Medical Research (Paul J. Rathouz and Amita Rastogi). Chapter 11 Statistical Analysis of Survival Data (Stephen W. Lagakos). Chapter 12 Analysis of Categorical Data in Medical Studies (Paul S. Albert). Chapter 13 Analyzing Data from Ordered Categories (Lincoln E. Moses, John D. Emerson, and Hossein Hosseini). SECTION IV: COMMUNICATING RESULTS. Chapter 14 Guidelines for Statistical Reporting in Articles for Medical Journals (John C. Bailar III and Frederick Mosteller). Chapter 15 Reporting of Subgroup Analyses in Clinical Trials (Rui Wang, Stephen W. Lagakos, James H. Ware, David J. Hunter, and Jeffrey M. Drazen). Chapter 16 Writing about Numbers (Frederick Mosteller, Margaret Perkins, and Stephen Morrissey). SECTION V: SPECIALIZED METHODS. Chapter 17 Combining Results from Independent Studies: Systematic Reviews and Meta-Analysis in Clinical Research (Michael A. Stoto). Chapter 18 Biostatistics in Epidemiology: Advanced Methods of Regression Analysis (Mark S. Goldberg). Chapter 19 Genetic Inference (Dan L. Nicolae, Thorsten Kurz, and Carole Ober). Chapter 20 Identifying Disease Genes in Association Studies (Dan L. Nicolae, Thorsten Kurz, and Carole Ober). Chapter 21 Risk Assessment (A. John Bailer and John C. Bailar III). INDEX.

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.

Contributors. Preface. Preface to the Second Edition. Preface to the First Edition. Acknowledgments. Origins of Chapters. Introduction. SECTION I: BROAD CONCEPTS AND ANALYTIC TECHNIQUES. Chapter 1 Statistical Concepts Fundamental to Investigations (Lincoln E. Moses). Chapter 2 Some Uses of Statistical Thinking (John C. Bailar III). Chapter 3 Use of Statistical Analysis in the New England Journal of Medicine (Shilpi Agarwal, Graham A. Colditz, and John D. Emerson). SECTION II: DESIGN. Chapter 4 Randomized Trials and Other Parallel Comparisons of Treatment (Nancy E. Mayo). Chapter 5 Crossover and Self-Controlled Designs in Clinical Research (John C. Bailar III, Thomas A. Louis, Philip W. Lavori, and Marcia Polansky). Chapter 6 The Series of Consecutive Cases as a Device for Assessing Outcomes of Interventions (Lincoln E. Moses). Chapter 7 Biostatistics in Epidemiology: Design and Basic Analysis (Mark S. Goldberg). SECTION III: ANALYSIS. Chapter 8 p-Values (James H. Ware, Frederick Mosteller, Fernando Delgado, Christl Donnelly, and Joseph A. Ingelfinger). Chapter 9 Understanding Analyses of Randomized Trials (Nancy E. Mayo). Chapter 10 Linear Regression in Medical Research (Paul J. Rathouz and Amita Rastogi). Chapter 11 Statistical Analysis of Survival Data (Stephen W. Lagakos). Chapter 12 Analysis of Categorical Data in Medical Studies (Paul S. Albert). Chapter 13 Analyzing Data from Ordered Categories (Lincoln E. Moses, John D. Emerson, and Hossein Hosseini). SECTION IV: COMMUNICATING RESULTS. Chapter 14 Guidelines for Statistical Reporting in Articles for Medical Journals (John C. Bailar III and Frederick Mosteller). Chapter 15 Reporting of Subgroup Analyses in Clinical Trials (Rui Wang, Stephen W. Lagakos, James H. Ware, David J. Hunter, and Jeffrey M. Drazen). Chapter 16 Writing about Numbers (Frederick Mosteller, Margaret Perkins, and Stephen Morrissey). SECTION V: SPECIALIZED METHODS. Chapter 17 Combining Results from Independent Studies: Systematic Reviews and Meta-Analysis in Clinical Research (Michael A. Stoto). Chapter 18 Biostatistics in Epidemiology: Advanced Methods of Regression Analysis (Mark S. Goldberg). Chapter 19 Genetic Inference (Dan L. Nicolae, Thorsten Kurz, and Carole Ober). Chapter 20 Identifying Disease Genes in Association Studies (Dan L. Nicolae, Thorsten Kurz, and Carole Ober). Chapter 21 Risk Assessment (A. John Bailer and John C. Bailar III). INDEX.