Methods for Designing Cluster Randomized Trials to Detect Treatment Effect Heterogeneity

February 2023 – In Grand Rounds 34, IMPACT Design and Statistics Executive Committee Member, Dr. Li, sheds light on several methods for designing cluster randomized trials (CRTs) to detect the variability of treatment effects for individuals within a population, also known as heterogeneity of treatment effect (HTE).

Speaker


Fan Li, PhD

Assistant Professor
Department of Biostatistics

Yale School of Public Health

Learning Objectives

  • Understand the sample size requirements for testing treatment effect heterogeneity in cluster randomized trials.
  • Be aware of tools for designing cluster randomized trials.
  • A call for involving statisticians at the outset to design cluster randomized trials.