From the 1 of 4 linked papers with an AI index.
4 papers
Semiparametric Prediction with Efficient Interval Length under a Right-Censored Covariate
Kihyun Han, Yanyuan Ma, Karen Marder +1
The paper introduces a semiparametric method for constructing prediction intervals when a key covariate is right‑censored, achieving more stable interval lengths and reliable cover…
SPYCE: A Doubly Robust Estimator for Trials Targeting Early Huntington Disease under Outcome-Dependent Censoring
Kihyun Han, Yanyuan Ma, Karen Marder +1
Clinical trials for neurodegenerative diseases must identify sensitive endpoints -- outcomes that change rapidly enough to detect treatment effects. In Huntington disease, this req…
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…