A dynamic treatment regime consists of a sequence of decision rules, one per stage of
intervention, that dictate how to individualize treatments to patients, based on evolving …

Dynamic treatment regimes are of growing interest across the clinical sciences because
these regimes provide one way to operationalize and thus inform sequential personalized …

This book was written to summarize and describe the state of the art of statistical methods
developed to address questions of estimation and inference for dynamic treatment regimes …

The management of many health disorders often entails a sequential, individualized
approach whereby treatment is adapted and readapted over time in response to the specific …

Dynamic treatment regimes (DTRs) are sequential decision rules for individual patients that
can adapt over time to an evolving illness. The goal is to accommodate heterogeneity …

In clinical practice, physicians make a series of treatment decisions over the course of a
patient's disease based on his/her baseline and evolving characteristics. A dynamic …

This paper highlights the role that reinforcement learning can play in the optimization of
treatment policies for chronic illnesses. Before applying any off-the-shelf reinforcement …

We develop methodology for a multistage-decision problem with flexible number of stages in
which the rewards are survival times that are subject to censoring. We present a novel Q …

A dynamic treatment regime consists of a set of decision rules that dictate how to
individualize treatment to patients based on available treatment and covariate history. A …

The area of dynamic treatment regimes (DTR) aims to make inference about adaptive,
multistage decision‐making in clinical practice. A DTR is a set of decision rules, one per …