SMARTs

Design considerations for comparing dynamic treatment regimens in a longitudinal SMART

A contributed oral presentation at ENAR 2020.

Mar 23, 2020 11:30 AM — 11:45 AM Virtual

Nicholas J. Seewald, Daniel Almirall

Sample Size Considerations for Comparing Dynamic Treatment Regimens in a Sequential Multiple-Assignment Randomized Trial with a Continuous Longitudinal Outcome

Clinicians and researchers alike are increasingly interested in how best to personalize interventions. A dynamic treatment regimen is a …

Nicholas J. Seewald, Kelley M. Kidwell, Inbal Nahum-Shani, Tianshuang Wu, James R. McKay, Daniel Almirall

Sample size considerations for comparing dynamic treatment regimes in a SMART with a longitudinal outcome

An oral presentation given as part of an invited session at CMStatistics 2019 on recent advances in methods for dynamic treatment regimes.

Dec 16, 2019 4:35 PM — 5:50 PM London, GB

Nicholas J. Seewald, Daniel Almirall

Sample size considerations for comparing dynamic treatment regimens in a SMART with a longitudinal outcome

A contributed oral presentation at JSM 2019.

Jul 30, 2019 8:35 AM — 8:50 AM Denver, CO, USA

Nicholas J. Seewald, Kelley M. Kidwell, James R. McKay, Inbal Nahum-Shani, Tianshuang Wu, Daniel Almirall

Sample size considerations for comparing dynamic treatment regimens in a SMART with a longitudinal outcome

Sample size considerations for comparing dynamic treatment regimens in a sequentially-randomized trial with a continuous longitudinal outcome

A contributed oral presentation at the 2019 Society for Clinical Trials Annual Meeting.

May 20, 2019 2:00 PM — 3:00 PM New Orleans, LA, USA

Nicholas J. Seewald, Kelley M. Kidwell, Inbal Nahum-Shani, Tianshuang Wu, James R. McKay, Daniel Almirall

Sample size considerations for comparing dynamic treatment regimens in a sequential multiple-assignment randomized trial with a continuous longitudinal outcome

A poster presented at the 2019 Michigan Student Symposium for Interdisciplinary Statistical Sciences.

Mar 29, 2019 10:00 AM — 11:15 AM University of Michigan, Ann Arbor, MI, USA

Nicholas J. Seewald, Daniel Almirall

Sample size considerations for comparing dynamic treatment regimens in a sequential multiple-assignment randomized trial with a continuous longitudinal outcome

An oral presentation for a topic contributed session at JSM 2018 on “issues and advances in power calculations for mental health studies”.

Jul 30, 2018 9:35 AM — 9:55 AM Vancouver, British Columbia, Canada

Nicholas J. Seewald, Kelley M. Kidwell, Inbal Nahum-Shani, Tianshuang Wu, James R. McKay, Daniel Almirall

Sample size considerations for comparing dynamic treatment regimens in a sequential multiple-assignment randomized trial with a continuous longitudinal outcome

Design and Analysis Considerations for Comparing Dynamic Treatment Regimens with Binary Outcomes from Sequential Multiple Assignment Randomized Trials

In behavioral, educational and medical practice, interventions are often personalized over time using strategies that are based on …

Kelley M. Kidwell, Nicholas J. Seewald, Qui Tran, Connie Kasari, Daniel Almirall

Sample size considerations for comparing dynamic treatment regimens in a sequential multiple-assignment randomized trial with a continuous longitudinal outcome

A poster presented during the 7th Annual Thomas R. Ten Have Symposium on Statistics in Mental Health.

Jun 7, 2018 4:20 PM — 6:20 PM Northwestern University, Chicago, IL, USA

Nicholas J. Seewald, Kelley M. Kidwell, Inbal Nahum-Shani, Tianshuang Wu, James R. McKay, Daniel Almirall

Sample size considerations for comparing dynamic treatment regimens in a sequential multiple-assignment randomized trial with a continuous longitudinal outcome

Sample size considerations for comparing dynamic treatment regimes in a sequential multiple-assignment randomized trial with a continuous longitudinal outcome

A contributed oral presentation at the 2018 ENAR Spring Meeting.

Mar 27, 2018 2:00 PM — 2:15 PM Atlanta, GA, USA

Nicholas J. Seewald, Kelley M. Kidwell, James R. McKay, Inbal Nahum-Shani, Daniel Almirall