SMARTs

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

Sequential Multiple Assignment Randomized Trials: An Opportunity for Improved Design of Stroke Reperfusion Trials

BACKGROUND: Modern clinical trials in stroke reperfusion fall into 2 categories: alternative systemic pharmacological regimens to …

William J. Meurer, Nicholas J. Seewald, Kelley Kidwell

Sample size considerations for the analysis of continuous repeated-measures outcomes in sequential multiple-assignment randomized trials

A poster presented at the 2017 Michigan Student Symposium for Interdisciplinary Statistical Sciences. Winner, Best Departmental Poster (Statistics).

Mar 24, 2017 12:00 PM — 1:00 PM University of Michigan, Ann Arbor, MI, USA

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

Design, analysis, and sizing of sequential multiple assignment randomized trials with binary outcomes

A 45-minute invited presentation on SMARTs with binary outcomes for the U-M Department of Statistics’ Graduate Student Seminar.

Sep 24, 2015 12:00 PM — 1:00 PM University of Michigan, Ann Arbor, MI, USA

Nicholas J. Seewald, Daniel Almirall, Kelley M. Kidwell

Design, analysis, and sizing of sequential multiple assignment randomized trials with binary outcomes

A SMART web-based sample size calculator

A poster at the Michigan Student Symposium for Interdisciplinary Statistical Sciences. Winner, Best Departmental Poster Award, Biostatistics.

Mar 20, 2015 10:15 AM — 11:15 AM University of Michigan, Ann Arbor, MI, USA

Nicholas J. Seewald, Daniel Almirall, Kelley M. Kidwell

A SMART web-based sample size calculator

A contributed poster at the 2014 IMPACT Symposium on Multiplicity Adjustment and SMARTs.

Nov 20, 2014 5:05 PM — 6:15 PM Cary, NC, USA

Nicholas J. Seewald, Daniel Almirall, Kelley M. Kidwell