Adaptive Treatment Strategies in Practice

Michael R. Kosorok is W. R. Kenan, Jr Distinguished Professor and Chair of Biostatistics and Professor of Statistics and Operations Research at the University of North Carolina, Chapel Hill. He is an honorary fellow of both the American Statistical Association and the Institute of Mathematical Statistics and an Associate Editor of The Annals of Statistics, the Journal of the American Statistical Association, and the Journal of the Royal Statistical Society, Series B. He is the contact principal investigator for a program project (P01) from the US National Cancer Institute, entitled 'Statistical Methods for Cancer Clinical Trials'. His main research interests are in precision medicine, clinical trials, machine learning, and related areas. Erica E. M. Moodie is a William Dawson Scholar and an Associate Professor of Biostatistics in the Department of Epidemiology, Biostatistics and Occupational Health at McGill University. She is an Elected Member of the International Statistical Institute, and an Associate Editor of Biometrics and the Journal of the American Statistical Association. She holds a Chercheur–Boursier Junior 2 career award from the Fonds de Recherche du Québec-Santé. Her main research interests are in causal inference and longitudinal data, with a focus on dynamic treatment regimes.

• Chapter 1: IntroductionPart I: Design of Trials for Estimating Dynamic Treatment RegimesChapter 2: DTRs and SMARTs: Definitions, designs, and applicationsChapter 3: Efficient design for clinically relevant intent-to-treat comparisonsChapter 4: SMART design, conduct, and analysis in oncologyChapter 5: Sample size calculations for clustered SMART designsPart II: Practical Challenges in Dynamic Treatment Regime AnalysesChapter 6: Analysis in the single-stage setting: An overview of estimation approaches for dynamic treatment regimes.