Cognitive: Compare the different types of adaptive trial designs; Describe the inferential philosophy underlying Bayesian statistics and its advantages over non-Bayesian approaches to inference; Evaluate the statistical properties of adaptive trial designs; Outline a structure and analysis plan for a Bayesian or adaptive randomized clinical trial (RCT) design.
Attitudinal: Value considerations of clinical equipoise in relation to the implications of adapting randomization during an RCT.
Skills: Formulate appropriate prior distributions for Bayesian trial designs; Demonstrate that clinical trial infrastructure is adequate to support planned adaptations; Select factors that will lead to successful adaptive or Bayesian trial designs; Choose appropriate considerations for interim and final analyses of data from adaptive and Bayesian clinical trials; Report adaptive RCTs using the CONsolidated Standards Of Reporting Trials (CONSORT) statement.
This category contains the curriculum Introduction and ten main modules. Learn about the instructors for this curriculum.
- Introductory Lecture: Prepared and presented by Jodi Segal, MD, MPH
- Learning Modules: Prepared and presented by Gary Rosner, ScD
Interview with Nancy Kass, ScD, Phoebe R. Berman Professor of Bioethics and Public Health in the Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, and Deputy Director for Public Health in the Berman Institute of Bioethics, on Ethical Issues Related to Adaptive Trials
Category 9 Self-Assessment
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Posted: February 2016