Semiparametric regression analysis for time-to-event marked endpoints in cancer studies.

ABSTRACT: In cancer studies the disease natural history process is often observed only at a fixed, random point of diagnosis (a survival time), leading to a current status observation (Sun (2006). The statistical analysis of interval-censored failure time data. Berlin: Springer.) representing a surrogate (a mark) (Jacobsen (2006). Point process theory and applications: marked point and piecewise deterministic processes. Basel: Birkhauser.) attached to the observed survival time. Examples include time to recurrence and stage (local vs. metastatic). We study a simple model that provides insights into the relationship between the observed marked endpoint and the latent disease natural history leading to it. A semiparametric regression model is developed to assess the covariate effects on the observed m

SUBMITTER: Hu C 

PROVIDER: S-EPMC4102917 | biostudies-literature | 2014 Jul

REPOSITORIES: biostudies-literature