11 citations · 11 across the 1 of their papers we have counts for
3 papers
stat.ML2019★ 11 cited
Machine learning in policy evaluation: new tools for causal inference
Noemi Kreif, Karla DiazOrdaz
While machine learning (ML) methods have received a lot of attention in recent years, these methods are primarily for prediction. Empirical researchers conducting policy evaluation…
stat.ME2018
Evaluation of adaptive treatment strategies in an observational study where time-varying covariates are not monitored systematically
Noémi Kreif, Oleg Sofrygin, Julie Schmittdiel +5
In studies based on electronic health records (EHR), the frequency of covariate monitoring can vary by covariate type, across patients, and over time. This can lead to major challe…
stat.ME2018
Data-adaptive doubly robust instrumental variable methods for treatment effect heterogeneity
Karla DiazOrdaz, Rhian Daniel, Noemi Kreif
We consider the estimation of the average treatment effect in the treated as a function of baseline covariates, where there is a valid (conditional) instrument. We describe two dou…