3 papers
stat.ME2021
Semiparametric Marginal Regression for Clustered Competing Risks Data with Missing Cause of Failure
Wenxian Zhou, Giorgos Bakoyannis, Ying Zhang +1
Clustered competing risks data are commonly encountered in multicenter studies. The analysis of such data is often complicated due to informative cluster size, a situation where th…
stat.ME2019
Deductive semiparametric estimation in Double-Sampling Designs with application to PEPFAR
Tianchen Qian, Constantine Frangakis, Constantin Yiannoutsos
Non-ignorable dropout is common in studies with long follow-up time, and it can bias study results unless handled carefully. A double-sampling design allocates additional resources…
stat.ME2018
Semiparametric regression and risk prediction with competing risks data under missing cause of failure
Giorgos Bakoyannis, Ying Zhang, Constantin T. Yiannoutsos
The cause of failure in cohort studies that involve competing risks is frequently incompletely observed. To address this, several methods have been proposed for the semiparametric…