Dynamic Treatment Regimes: Statistical Methods for Precision Medicine provides a comprehensive introduction to statistical methodology for the evaluation and discovery of dynamic treatment regimes from data. Researchers and graduate students in statistics, data science, and related quantitative disciplines with a background in probability and statistical inference and popular statistical modeling techniques will be prepared for further study of this rapidly evolving field.

A dynamic treatment regime is a set of sequential decision rules, each corresponding to a key decision point in a disease or disorder process, where each rule takes as input patient information and returns the treatment option he or she should receive. Thus, a treatment regime formalizes how a clinician synthesizes patient information and selects treatments in practice. Treatment regimes are of obvious relevance to precision medicine, which involves tailoring treatment selection to patient characteristics in an evidence-based way. Of critical importance to precision medicine is estimation of an optimal treatment regime, one that, if used to select treatments for the patient population, would lead to the most beneficial outcome on average. Key methods for estimation of an optimal treatment regime from data are motivated and described in detail. A dedicated companion website presents full accounts of application of the methods using a comprehensive R package developed by the authors.

The authors’ website www.dtr-book.com includes updates, corrections, new papers, and links to useful websites.

chapter Chapter 1|15 pages


chapter Chapter 2|34 pages


chapter Chapter 3|47 pages

Single Decision Treatment Regimes: Fundamentals

chapter Chapter 4|26 pages

Single Decision Treatment Regimes: Additional Methods

chapter Chapter 5|59 pages

Multiple Decision Treatment Regimes: Overview

chapter Chapter 6|59 pages

Multiple Decision Treatment Regimes: Formal Framework

chapter Chapter 7|79 pages

Optimal Multiple Decision Treatment Regimes

chapter Chapter 8|122 pages

Regimes Based on Time-to-Event Outcomes

chapter Chapter 9|67 pages

Sequential Multiple Assignment Randomized Trials

chapter Chapter 10|55 pages

Statistical Inference

chapter Chapter 11|6 pages

Additional Topics