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06/28/2023
Efficient and Multiply Robust Risk Estimation under General Forms of Dataset Shift
Statistical machine learning methods often face the challenge of limited...
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10/05/2022
Doubly Robust Proximal Synthetic Controls
To infer the treatment effect for a single treated unit using panel data...
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09/09/2022
Evaluating tests for cluster-randomized trials with few clusters under generalized linear mixed models with covariate adjustment: a simulation study
Generalized linear mixed models (GLMM) are a popular tool to analyze clu...
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03/11/2022
Distribution-free Prediction Sets Adaptive to Unknown Covariate Shift
Predicting sets of outcomes – instead of unique outcomes – is a promisin...
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01/18/2022
Individualized treatment rules under stochastic treatment cost constraints
Estimation and evaluation of individualized treatment rules have been st...
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12/10/2020
Leveraging vague prior information in general models via iteratively constructed Gamma-minimax estimators
Gamma-minimax estimation is an approach to incorporate prior information...
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03/04/2020