3 papers
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.ME2025
Estimating treatment effects with a unified semi-parametric difference-in-differences approach
Julia C. Thome, Andrew J. Spieker, Peter F. Rebeiro +3
Difference-in-differences (DID) approaches are widely used for estimating causal effects with observational data before and after an intervention. DID traditionally estimates the a…
stat.ME2024
Probability-scale residuals for event-time data
Eric S. Kawaguchi, Bryan E. Shepherd, Chun Li
The probability-scale residual (PSR) is defined as , where is the observed outcome and is a random variable from the fitted distribution. The PSR is pa…