Case-Cohort Analysis with Accelerated Failure Time Model.

@article{citeulike:2915176, abstract = {In a case-cohort design, covariates are assembled only for a subcohort that is randomly selected from the entire cohort and any additional cases outside the subcohort. This design is appealing for large cohort studies of rare disease, especially when the exposures of interest are expensive to ascertain for all the subjects. We propose statistical methods for analyzing the case-cohort data with a semiparametric accelerated failure time model that interprets the covariates effects as to accelerate or decelerate the time to failure. Asymptotic properties of the proposed estimators are developed. The finite sample properties of case-cohort estimator and its relative efficiency to full cohort estimator are assessed via simulation studies. A real example from a study of cardiovascular disease is provided to illustrate the estimating procedure.}, address = {Department of Biostatistics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania 15261, U.S.A.}, author = {Kong, Lan and Cai, Jianwen }, citeulike-article-id = {2915176}, doi = {http://dx.doi.org/10.1111/j.1541-0420.2008.01055.x}, issn = {1541-0420}, journal = {Biometrics}, keywords = {case-cohort, cox}, month = {June}, posted-at = {2008-06-22 14:48:53}, priority = {2}, title = {Case-Cohort Analysis with Accelerated Failure Time Model.}, url = {http://dx.doi.org/10.1111/j.1541-0420.2008.01055.x}, year = {2008} }

TY - JOUR ID - citeulike:2915176 L3 - citeulike-article-id:2915176 TI - Case-Cohort Analysis with Accelerated Failure Time Model. JF - Biometrics AD - Department of Biostatistics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania 15261, U.S.A. SN - 1541-0420 N2 - In a case-cohort design, covariates are assembled only for a subcohort that is randomly selected from the entire cohort and any additional cases outside the subcohort. This design is appealing for large cohort studies of rare disease, especially when the exposures of interest are expensive to ascertain for all the subjects. We propose statistical methods for analyzing the case-cohort data with a semiparametric accelerated failure time model that interprets the covariates effects as to accelerate or decelerate the time to failure. Asymptotic properties of the proposed estimators are developed. The finite sample properties of case-cohort estimator and its relative efficiency to full cohort estimator are assessed via simulation studies. A real example from a study of cardiovascular disease is provided to illustrate the estimating procedure. KW - case-cohort KW - cox AU - Kong, Lan AU - Cai, Jianwen PY - 2008/06/05/ UR - http://dx.doi.org/10.1111/j.1541-0420.2008.01055.x ER -