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

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.

 

Adaptation of behavioral interventions and use of FRAME

January 2023 – In Grand Rounds 33, Dr. Wiltsey Stirman dives into the adaptations of behavioral interventions and describes how the FRAME process can be used to document those adaptations and modifications.

Speaker

Shannon Wiltsey Stirman, PhDShannon Wiltsey Stirman, PhD

Associate Professor
Psychiatry and Behavioral Sciences

Stanford University

Learning Objectives

  • Discuss factors that should be considered when adapting behavioral interventions.
  • Describe how the FRAME can be used to document adaptations.
  • Provide examples of study designs to investigate the impact of adaptations.