SMARTs

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

SMARTs with Longitudinal Outcomes

Methods for the design and analysis of sequential, multiple-assignment randomized trials with continuous longitudinal outcomes.

Nicholas J. Seewald

SMARTs with Longitudinal Outcomes