Causal Inference: Emulating a Target Trial to Assess Comparative Effectiveness
2 Day Workshop on February 14 & 15, 2019
The Department of Population Health Sciences is proud to welcome Miguel Hernan, MD, ScM, DrPH, Harvard T.H. Chan School of Public Medicine. Learn how to determine “what works” using data from observational and randomized studies. Introduces students to a general framework for the assessment of comparative effectiveness and safety research. The framework, which can be applied to both observational data and randomized trials with imperfect adherence to the protocol, relies on the specification of a (hypothetical) target trial. Explores key challenges for comparative effectiveness research and critically reviews methods proposed to overcome those challenges. The methods are presented in the context of several case studies for cancer, cardiovascular, renal, and infectious diseases.
Student Evaluation: Critique of a clinical trial protocol 100%
- Formulate sufficiently well-defined causal questions for comparative effectiveness research
- Specify the protocol of the target trial
- Design analyses of observational data that emulate the protocol of the target trial
- Critique observational studies and randomized for comparative effectiveness research