Dynamic Treatment Regimes: Statistical Methods for Precision Medicine

ISBN-13: 9781498769778 / Angielski / Twarda / 2019 / 602 str.

Anastasios A. Tsiatis; Marie Davidian; Eric Laber

Opis

Precision medicine seeks to use data to construct principled, i.e., evidence-based, treatment strategies that dictate where, when, and to whom treatment should be applied. This book provides an accessible yet comprehensive introduction to statistical methodology for dynamic treatment regimes.

Spis treści

1. Introduction. 2. Preliminaries. 3. Single Decision Treatment Regimes: Fundamentals. 4. Single Decision Treatment Regimes: Additional Methods. 5. Multiple Decision Treatment Regimes: Overview. 6. Multiple Decision Treatment Regimes: Formal Framework. 7. Optimal Multiple Decision Treatment Regimes. 8. Regimes Based on Time-to-Event Outcomes. 9. Sequential Multiple Assignment Randomized Trials. 10. Statistical Inference. 11.Additional TopicsBibliography.

O autorze

Anastasios Tsiatis is Gertrude M. Cox Distinguished Professor Emeritus, Marie Davidian is J. Stuart Hunter Distinguished Professor, Shannon Holloway is Senior Research Scholar, and Eric Laber is Goodnight Distinguished Professor, all in the Department of Statistics at North Carolina State University. They have published extensively and are internationally-recognized authorities on methodology for dynamic treatment regimes.