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Double Machine Learning for Causal Inference in High-Dimensional Electronic Health Records

2025-07-22 epidemiology Title + abstract only
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BackgroundEstimating causal effects in observational health data is challenging due to confounding by indication. Traditional approaches such as inverse probability of treatment weighting (IPTW) rely on correct model specification, which is difficult in high-dimensional settings. We implemented an offset-based double machine learning (Offset-DML) practical framework for estimating binary treatment effects on the log-odds scale using logistic regression. MethodsWe have conducted a plasmode simul...

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