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stat.ML2025
Evaluating and Learning Optimal Dynamic Treatment Regimes under Truncation by Death
Sihyung Park, Wenbin Lu, Shu Yang
Truncation by death, a prevalent challenge in critical care, renders traditional dynamic treatment regime (DTR) evaluation inapplicable due to ill-defined potential outcomes. We in…
stat.ML2025
Structure Maintained Representation Learning Neural Network for Causal Inference
Yang Sun, Wenbin Lu, Yi-Hui Zhou
Recent developments in causal inference have greatly shifted the interest from estimating the average treatment effect to the individual treatment effect. In this article, we impro…
stat.ML2025
Self-Consistent Equation-guided Neural Networks for Censored Time-to-Event Data
Sehwan Kim, Rui Wang, Wenbin Lu
In survival analysis, estimating the conditional survival function given predictors is often of interest. There is a growing trend in the development of deep learning methods for a…