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Most of the effort in observational study design is focused on adjusting for measured confounders. In this webinar, we will go one step beyond and describe design strategies to avoid selection bias and improve efficiency in observational studies.
- How to map the identifiability conditions of causal effects in the design of a RCT, and in an observational study
- To identify the problems that can arise when eligibility, start of follow-up, and exposure assignment are not aligned
- How to improve the precision of the effect estimates when patients are eligible at multiple time points
Presenter: Xabier Garcia de Albeniz Martinez, MD, PhD, Senior Research Epidemiologist