加葉田 大志朗

On propensity score misspecification in double/debiased machine learning for causal inference: ensemble and stratified approaches 

Communications in Statistics - Simulation and Computation 1-11 2023年11月14日  筆頭著者責任著者

Matching on propensity and prognostic scores can lead to different estimates of heterogeneous treatment effects: a case study and simulation 

Health Services and Outcomes Research Methodology 2023年9月4日  筆頭著者責任著者

Estimating the treatment effect with propensity score when the effect varies by patient characteristics: A case study and simulation 

Communications in Statistics - Case Studies, Data Analysis and Applications 1-13 2022年3月3日  筆頭著者責任著者

Variable selection in double/debiased machine learning for causal inference: an outcome-adaptive approach 

Communications in Statistics - Simulation and Computation 2021年11月  筆頭著者