Inference about the expected performance of a data-driven dynamic treatment regime

Inference for Optimal Dynamic Treatment Regimes Using an Adaptivem-Out-of-nBootstrap Scheme

(2013) Bibhas Chakraborty et al.   BIOMETRICS

Robust estimation of optimal dynamic treatment regimes for sequential treatment decisions

(2013) B. Zhang et al.   BIOMETRIKA

Estimating the optimal dynamic antipsychotic treatment regime: evidence from the sequential multiple-assignment randomized Clinical Antipsychotic Trials of Intervention and Effectiveness schizophrenia study

(2013) Susan M. Shortreed et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS

A "SMART" Design for Building Individualized Treatment Sequences

(2012) H. Lei et al.   Annual Review of Clinical Psychology

A Robust Method for Estimating Optimal Treatment Regimes

(2012) Baqun Zhang et al.   BIOMETRICS

Q-learning for estimating optimal dynamic treatment rules from observational data

(2012) Erica E. M. Moodie et al.   CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE

Comment

(2012) Daniel Almirall et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Evaluation of Viable Dynamic Treatment Regimes in a Sequentially Randomized Trial of Advanced Prostate Cancer

(2012) Lu Wang et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Estimating Individualized Treatment Rules Using Outcome Weighted Learning

(2012) Yingqi Zhao et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Designing a pilot sequential multiple assignment randomized trial for developing an adaptive treatment strategy

(2012) Daniel Almirall et al.   STATISTICS IN MEDICINE

Reinforcement Learning Strategies for Clinical Trials in Nonsmall Cell Lung Cancer

(2011) Yufan Zhao et al.   BIOMETRICS

Adaptive Confidence Intervals for the Test Error in Classification

(2011) Eric B. Laber et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Sample size calculations for evaluating treatment policies in multi-stage designs

(2010) Ree Dawson et al.   Clinical Trials

Bortezomib, melphalan, and prednisone versus bortezomib, thalidomide, and prednisone as induction therapy followed by maintenance treatment with bortezomib and thalidomide versus bortezomib and prednisone in elderly patients with untreated multiple myeloma: a randomised trial

(2010) María-Victoria Mateos et al.   LANCET ONCOLOGY

Weighted Kaplan-Meier estimators for two-stage treatment regimes

(2010) Sachiko Miyahara et al.   STATISTICS IN MEDICINE

Sequential multiple-assignment randomized trial design of neurobehavioral treatment for patients with metastatic malignant melanoma undergoing high-dose interferon-alpha therapy

(2009) S. Freda Auyeung et al.   Clinical Trials

Inference for non-regular parameters in optimal dynamic treatment regimes

(2009) Bibhas Chakraborty et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

Reinforcement learning design for cancer clinical trials

(2009) Yufan Zhao et al.   STATISTICS IN MEDICINE

Adaptive interventions may optimize outcomes in drug courts: A pilot study

(2009) Douglas B. Marlowe et al.   Current Psychiatry Reports

Web-Based Smoking-Cessation Programs

(2008) Victor J. Strecher et al.   AMERICAN JOURNAL OF PREVENTIVE MEDICINE

An extracellular stochastic model of early HIV infection and the formulation of optimal treatment policy

(2008) Samira Khalili et al.   CHEMICAL ENGINEERING SCIENCE

Estimation and extrapolation of optimal treatment and testing strategies

(2008) James Robins et al.   STATISTICS IN MEDICINE