Biostatistics Weekly Seminar

Statistical methods for health system-based cluster trials: experimenting in a finite sample

Michael Harhay, PhD
Assistant Professor
University of Pennsylvania

Pragmatic and cluster trials in health systems must navigate logistic pressures that donít generally allow the ideal trial to be designed. In this talk, I will review recent work on estimands, leveraging baseline covariates to maximize statistical power, missing data methods for health system cluster trials, and, if time allows, some ongoing work related to intervention compliance with our research team.
Learning Objectives:
By the end of the presentation, the audience will understand:
1. Estimands relevant to cluster trials, i.e., cluster versus participant average treatment effects, and issues with informative cluster size.
2. Benefits and optimal strategies for incorporating baseline covariate adjustment in cluster trials.
3. Advantages and disadvantages of different approaches to imputing multilevel missing data in cluster trials

Zoom Link to Follow
20 September 2023

Speaker Itinerary

Topic revision: r3 - 07 Sep 2023, CierraStreeter

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