3 papers
stat.ME2026
Bounding Causal Effects for Ordinal Outcomes Under Positive Dependence
Micha Mandel, Daniel Rodan
Defining and estimating causal effects for ordinal data is challenging. Standard average treatment effects are not appropriate for ordinal scales, and alternative estimands, such a…
stat.ME2026
Cox Regression on the Plane
Yael Travis-Lumer, Micha Mandel, Ido Didi Fabian +2
The Cox proportional hazards model is the most widely used regression model in univariate survival analysis, yet extensions to bivariate survival data remain scarce. We propose two…
stat.ME2024
Pseudo-Observations for Bivariate Survival Data
Yael Travis-Lumer, Micha Mandel, Rebecca A. Betensky
The pseudo-observations approach has been gaining popularity as a method to estimate covariate effects on censored survival data. It is used regularly to estimate covariate effects…