A semiparametric model for interval censored and truncated data

Autor:	Filia Vonta, Catherine Huber
Rok vydání:	2009
Předmět:	Statistics and Probability Survival data Survival function Proportional hazards model Applied Mathematics General Mathematics Censoring (clinical trials) Statistics Nuisance parameter Cumulative hazard Truncation (statistics) Mathematics Semiparametric model
Zdroj:	Journal of Mathematical Sciences. 163:283-289
ISSN:	1573-8795 1072-3374
DOI:	10.1007/s10958-009-9673-y
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::74d58ec15703e9c35210845cb7e197a1 https://doi.org/10.1007/s10958-009-9673-y Zobrazit plný text záznamu Plný text ve formátu PDF