November 2023 - In Grand Rounds 41, Dr. Harhay addresses the impact of intercurrent events, specifically the occurrence of death in patients with critical illness during research studies, which can lead to missing outcome data and potentially biased results. Dr. Harhay discusses various approaches, such as composite outcomes, to navigate complexities of this missing data issue.
Speaker
Michael Harhay, PhD, MPH
Assistant Professor of Epidemiology and Medicine (Pulmonary and Critical Care)
University of Pennsylvania
Learning Objectives
- Articulate the risks of bias associated with having outcomes truncated by death in randomized trials.
- Assess options to address outcomes truncated by death using the estimand framework.
- Understand tradeoffs between approaches such as statistical models and composite outcome to address outcomes truncated by death.