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stat.ME2026
Wilcoxon Random Forests for Robust Distributional Prediction
Danni Shi, Bryan E Shepherd, Chun Li
Random forests (RF) are tree-based models that capture complex, high-order predictor interactions. In biomedical studies, ordered outcomes often have outliers, skewness, or mixture…
stat.ME2026
Doubly Robust Estimators of Quantile Treatment Effects With Semiparametric Cumulative Probability Models
Hao Wu, Chun Li, Bryan E. Shepherd
The causal inference literature has traditionally focused on estimating the mean of the potential outcome, whereas evaluating how a treatment affects the entire outcome distributio…
stat.ME2026
Addressing errors in multiple variables using generalized raking and cumulative probability models
Eric S. Kawaguchi, Chun Li, Frank E. Harrell +3
Routinely collected data, such as electronic health record (EHR) data, are frequently used for biomedical research, but these data are prone to errors, which can bias study finding…