Heterogeneous Treatment Effect Estimation with Instrumental Variable Methods

Abstract excerpt

<p>Instrumental variable (IV) methods are widely used to address unmeasured confounding in observational studies but typically estimate the local average treatment effect (LATE) for compliers. If there exist effect modifying variables that also affect the choice of treatment, the LATE may have limited clinical relevance. To address this limitation, we propose a novel framework for estimating the conditional averag...

Topics

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• Bayes Theorem
• Case-Control Studies
• Causality
• Confidence Intervals
• Least-Squares Analysis
• Likelihood Functions
• Mendelian Randomization Analysis
• Models, Statistical

Identifiers and source

Literature Corpus work

0838b661-897e-575e-94f8-b8d438a8d796

DOI

10.31222/osf.io/nbg3q_v1