PhD

Dissertation defense: Design and analytic considerations for sequential, multiple-assignment randomized trials with longitudinal outcomes

A dissertation defense completed in partial fulfillment of the requirements for the degree of Doctor of Philosophy (Statistics) at the University of Michigan.

May 10, 2021 10:00 AM — 11:30 AM Virtual

Nicholas J. Seewald

Dissertation defense: Design and analytic considerations for sequential, multiple-assignment randomized trials with longitudinal outcomes

Budgeting SMART: Sample size and repeated measures with a cost constraint in a longitudinal sequential, multiple-assignment randomized trial

A contributed oral presentation at ENAR 2021.

Mar 17, 2021 3:00 PM — 3:20 PM Virtual

Nicholas J. Seewald, Daniel Almirall

Sample size and timepoint tradeoffs for comparing dynamic treatment regimens in a longitudinal SMART

A contributed oral presentation at JSM 2020.

Aug 4, 2020 10:00 AM — 2:00 PM Virtual

Nicholas J. Seewald, Daniel Almirall

Sample size and timepoint tradeoffs for comparing dynamic treatment regimens in a longitudinal SMART

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 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

Practical Considerations for Data Collection and Management in Mobile Health Micro-Randomized Trials

There is a growing interest in leveraging the prevalence of mobile technology to improve health by delivering momentary, contextualized …

Nicholas J. Seewald, Shawna N. Smith, Andy Jinseok Lee, Predrag Klasnja, Susan A. Murphy

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