4 papers
Dynamic Amplification of Risk-Estimate Bias Through Differential Detection: A Markov Model for History-Based Covariates
Hadar Sharvit, Micha Mandel
History-based risk factors, such as known family history, recorded personal history, and documented regional history, are often treated as covariates. Because these variables depen…
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…
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…
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…