Comparing cluster-level dynamic treatment regimens using sequential, multiple assignment, randomized trials: Regression estimation and sample size considerations

The BestFIT trial: A SMART approach to developing individualized weight loss treatments

(2016) Nancy E. Sherwood et al.   Contemporary Clinical Trials

Comparing treatment policies with assistance from the structural nested mean model

(2015) Xi Lu et al.   BIOMETRICS

Using decision lists to construct interpretable and parsimonious treatment regimes

(2015) Yichi Zhang et al.   BIOMETRICS

Tree-based methods for individualized treatment regimes

(2015) E. B. Laber et al.   BIOMETRIKA

New Statistical Learning Methods for Estimating Optimal Dynamic Treatment Regimes

(2015) Ying-Qi Zhao et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Comparing dynamic treatment regimes using repeated-measures outcomes: modeling considerations in SMART studies

(2015) Xi Lu et al.   STATISTICS IN MEDICINE

Introduction to dynamic treatment strategies and sequential multiple assignment randomization

(2014) Philip W Lavori et al.   Clinical Trials

Protocol: Adaptive Implementation of Effective Programs Trial (ADEPT): cluster randomized SMART trial comparing a standard versus enhanced implementation strategy to improve outcomes of a mood disorders program

(2014) Amy M Kilbourne et al.   Implementation Science

Communication Interventions for Minimally Verbal Children With Autism: A Sequential Multiple Assignment Randomized Trial

(2014) Connie Kasari et al.   JOURNAL OF THE AMERICAN ACADEMY OF CHILD AND ADOLESCENT PSYCHIATRY

Introduction to SMART designs for the development of adaptive interventions: with application to weight loss research

(2014) Daniel Almirall et al.   Translational Behavioral Medicine

Cluster randomized adaptive implementation trial comparing a standard versus enhanced implementation intervention to improve uptake of an effective re-engagement program for patients with serious mental illness

(2013) Amy M. Kilbourne et al.   Implementation Science

Life Goals Collaborative Care for Patients With Bipolar Disorder and Cardiovascular Disease Risk

(2013) Amy M. Kilbourne et al.   PSYCHIATRIC SERVICES

Variance reduction in randomised trials by inverse probability weighting using the propensity score

(2013) Elizabeth J. Williamson et al.   STATISTICS IN MEDICINE

A "SMART" Design for Building Individualized Treatment Sequences

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

Performance guarantees for individualized treatment rules

(2011) Min Qian et al.   ANNALS OF STATISTICS

Sample size formulae for two-stage randomized trials with survival outcomes

(2011) Z. Li et al.   BIOMETRIKA

The Intra-Cluster Correlation Coefficient in Cluster Randomized Trials: A Review of Definitions

(2009) Sandra M. Eldridge et al.   INTERNATIONAL STATISTICAL REVIEW

A note on using the estimated versus the known propensity score to estimate the average treatment effect

(2008) Babette A. Brumback   STATISTICS & PROBABILITY LETTERS