3 papers
stat.ME2025
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…
math.ST2015
Kernel Machines for Current Status Data
Yael Travis-Lumer, Yair Goldberg
In survival analysis, estimating the failure time distribution is an important and difficult task, since usually the data is subject to censoring. Specifically, in this paper we co…