Abstract
In this paper, we consider a complex observational scheme in which survival data are both interval censored and truncated. We assume a semiparametric Cox model for the survival function and consider censoring and truncation distributions as in Huber, Solev, and Vonta (2006, 2007). We establish the form of the least favorable model (Slud and Vonta (2005)) for the cumulative hazard function, which plays the role of an infinite-dimensional nuisance parameter for fixed values of the finite-dimensional parameter of interest. The least favorable model cannot be defined in a closed form. Bibliography: 8 titles.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
