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.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…
math.ST2005
Two likelihood-based semiparametric estimation methods for panel count data with covariates
Jon A. Wellner, Ying Zhang
We consider estimation in a particular semiparametric regression model for the mean of a counting process with ``panel count'' data. The basic model assumption is that the conditio…