title: Statistical analysis of current status data with informative observation times.
abstract: Current status data arise when each study subject is observed only once and the survival time of interest is known only to be either less or greater than the observation time. Such data often occur in, for example, cross-sectional studies, demographical investigations and tumorigenicity experiments and several semi-parametric and non-parametric methods for their analysis have been proposed. However, most of these methods deal only with the situation where observation time is independent of the underlying survival time completely or given covariates. This paper discusses regression analysis of current status data when the observation time may be related to the underlying survival time and inference procedures are presented for estimation of regression parameters under the additive hazards regression model. The procedures can be easily implemented and are applied to two motivating examples.
authors.affiliation: Department of Statistics, Oklahoma State University, 301 Mathematics Sciences Building, Stillwater, OK 74074, USA.
authors.forename: Zhigang
authors.initials: Z
authors.lastname: Zhang
authors.forename: Jianguo
authors.initials: J
authors.lastname: Sun
authors.forename: Liuquan
authors.initials: L
authors.lastname: Sun
mesh_terms: D015073:2-Acetylaminofluorene / Q000633:toxicity; D000818:Animals; D015197:Carcinogenicity Tests; D002273:Carcinogens / Q000633:toxicity; D003198:Computer Simulation; D005260:Female; D008175:Lung Neoplasms / Q000139:chemically induced; D051379:Mice; D016016:Proportional Hazards Models; D016019:Survival Analysis; D001749:Urinary Bladder Neoplasms / Q000139:chemically induced
chemical_list: D002273:Carcinogens; D015073:2-Acetylaminofluorene