Routinely-collected healthcare databases generated from insurance claims and electronic health records have tremendous potential to provide information on the real-world effectiveness and safety of medical products. However, unmeasured confounding …
Cohort studies of treatments developed from healthcare claims often have hundreds of thousands of patients and up to several thousand measured covariates. Therefore, new causal inference methods that combine ideas from machine learning and causal …
Cohort studies of treatments developed from healthcare claims often have hundreds of thousands of patients and up to several thousand measured covariates. Therefore, new causal inference methods that combine ideas from machine learning and causal …