11 citations · 11 across the 2 of their papers we have counts for
5 papers
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…
Non-compliance and missing data in health economic evaluation
Karla DiazOrdaz, Richard Grieve
Health economic evaluations face the issues of non-compliance and missing data. Here, non-compliance is defined as non-adherence to a specific treatment, and occurs within randomis…
Estimating cluster-level local average treatment effects in cluster randomised trials with non-adherence
Schadrac C. Agbla, Bianca De Stavola, Karla DiazOrdaz
Non-adherence to assigned treatment is a common issue in cluster randomised trials (CRTs). In these settings, the efficacy estimand may be also of interest. Many methodological con…
Local average treatment effects estimation via substantive model compatible multiple imputation
Karla DiazOrdaz, James Carpenter
Non-adherence to assigned treatment is common in randomised controlled trials (RCTs). Recently, there has been an increased interest in estimating causal effects of treatment recei…
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…