contributed talks

Practical Guidance on Whether and When to Aggregate Individual‐Level Data for Causal Health Policy Evaluation
Health policy researchers often have questions about the effects of state policy on individual-level outcomes collected over multiple …
May 16, 2024 3:30 PM — 3:45 PM Seattle, WA
Project Slides
Practical Guidance on Whether and When to Aggregate Individual‐Level Data for Causal Health Policy Evaluation
Handling Correlation in Stacked Difference-in-Differences Estimates with Application to Medical Cannabis Policy
Health policy researchers often have questions about the effects of state policy on individual-level outcomes collected over multiple …
May 24, 2023 1:45 PM — 3:00 PM Austin, TX, USA
Nicholas J. Seewald, Beth McGinty, Kayla Tormohlen, Elizabeth A. Stuart
Project Slides
Handling Correlation in Stacked Difference-in-Differences Estimates with Application to Medical Cannabis Policy
Ready to Roll? Practical Guidance on Whether and When to Aggregate Data in Health Policy Evaluation
A contributed presentation at JSM 2022. Part of a session on “Statistical Methods in Policy Evaluation: From COVID-19 to Medical Cannabis–Related Policy”.
Jan 10, 2023 5:15 PM — 5:30 PM Scottsdale, AZ, USA
Nicholas J. Seewald, Kayla Tormohlen, Beth McGinty, Elizabeth A. Stuart
Project Slides
Ready to Roll? Practical Guidance on Whether and When to Aggregate Data in Health Policy Evaluation
Handling Correlation in Stacked Difference-in-Differences Estimates with Application to Medical Cannabis Policy
A contributed presentation at JSM 2022. Part of a session on “Statistical Methods in Policy Evaluation: From COVID-19 to Medical Cannabis–Related Policy”.
Aug 8, 2022 3:20 PM — 3:35 PM Washington, DC, USA
Nicholas J. Seewald, Kayla Tormohlen, Beth McGinty, Elizabeth A. Stuart
Project Slides
Handling Correlation in Stacked Difference-in-Differences Estimates with Application to Medical Cannabis Policy
Policy evaluation in the real world: Experiences with translating cutting-edge methods for an applied audience
A talk at the 2022 American Causal Inference Conference offering advice on communicating cutting-edge methods for an applied audience, drawing on experience with using the augmented synthetic control method in a paper published in the Annals of Internal Medicine. Part of a session on methodological innovations for challenges in health policy and clinical care.
May 25, 2022 11:15 AM — 12:25 PM Berkeley, CA, USA
Nicholas J. Seewald, Beth McGinty, Elizabeth A. Stuart
Project Slides
Policy evaluation in the real world: Experiences with translating cutting-edge methods for an applied audience
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
Project Slides
Budgeting SMART: Sample size and repeated measures with a cost constraint in a longitudinal sequential, multiple-assignment randomized trial
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
Project Slides Video Video Script
Sample size and timepoint tradeoffs for comparing dynamic treatment regimens in a longitudinal SMART
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
Project Slides
Design considerations for comparing dynamic treatment regimens in a longitudinal SMART
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
Project Slides
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 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
Project Slides
Sample size considerations for comparing dynamic treatment regimens in a sequential multiple-assignment randomized trial with a continuous longitudinal outcome