“Joint Analysis of Interval-censored failure Time Data and Panel Count Data”
Abstract: Interval-censored failure time data and panel count data are two types of incomplete data that commonly occur in event history studies and many methods have been developed for their analysis separately (Sun, 2006; Sun and Zhao, 2013). Sometimes one may be interested in or need to conduct their joint analysis such as in the clinical trials with composite endpoints, for which it does not seem to exist an established approach in the literature. This talk will discuss this problem and present a sieve maximum likelihood approach. Some simulation results and an application will also be presented.
For inquiries contact Chengjie Xiong.