Course: Instrumental Variables and Heterogeneous Treatment Effects
CME Credits: 1.00
Released: 0000-00-00
A randomized clinical trial (RCT) can be used to estimate the average treatment effect for a population. Some patients experience a treatment effect that is larger than the average, while others experience a smaller-than-average treatment effect. Subgroup analyses often are used to evaluate heterogeneity in the treatment effect. When it is infeasible or unethical to randomize patients to a treatment, the average treatment effect may be a combination of the true treatment effect and the effects of confounders—factors that influence both the treatment selected and patient outcomes. When confounding factors are unknown or unobserved, correcting for their effect in statistical analyses is challenging. Instrumental variable analysis is one approach to address unobserved confounding.
Educational Objective
To identify the key insights or developments described in this article
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