Stata Treatment-effects Reference Manual: Potential Outcomes/counterfactual Outcomes

Stata Treatment-effects Reference Manual: Potential Outcomes/counterfactual Outcomes

Stata Treatment-effects Reference Manual: Potential Outcomes/counterfactual Outcomes

Bayesian Inference of Individualized Treatment Effects using Multi-task Gaussian Processes

Predicated on the increasing abundance of electronic health records, we investigate the problem of inferring individualized treatment effects using observational data. Stemming from the potential outcomes model, we propose a novel multi-task learning framework in which factual and counterfactual outcomes are modeled as the outputs of a function in a vector-valued reproducing kernel Hilbert spac...

Dynamic Discrete Choice and Dynamic Treatment Effects

Dynamic Discrete Choice and Dynamic Treatment Effects This paper considers semiparametric identiÞcation of structural dynamic discrete choice models and models for dynamic treatment effects. Time to treatment and counterfactual outcomes associated with treatment times are jointly analyzed. We examine the implicit assumptions of the dynamic treatment model using the structural model as a benchma...

Stata Multilevel Mixed-effects Reference Manual