4 papers
Robust Estimation under Outcome Dependent Right Censoring in Huntington Disease: Estimators for Low and High Censoring Rates
Jesus E. Vazquez, Yanyuan Ma, Karen Marder +1
Across health applications, researchers model outcomes as a function of time to an event, but the event time is right-censored for participants who exit the study or otherwise do n…
Super doubly robust and efficient estimator for informative covariate censoring
Zhewei Zhang, Yanyuan Ma, Karen Marder +1
Early intervention in neurodegenerative diseases requires identifying periods before diagnosis when decline is rapid enough to detect whether a therapy is slowing progression. Sinc…
Robust and efficient estimation in the presence of a randomly censored covariate
Seong-ho Lee, Brian D. Richardson, Yanyuan Ma +2
In Huntington's disease research, a current goal is to understand how symptoms change prior to a clinical diagnosis. Statistically, this entails modeling symptom severity as a func…
Establishing the Parallels and Differences Between Right-Censored and Missing Covariates
Jesus E. Vazquez, Marissa C. Ashner, Yanyuan Ma +2
While right-censored time-to-event outcomes have been studied for decades, handling time-to-event covariates, also known as right-censored covariates, is now of growing interest. S…