Proportional cause-specific reversed hazards model. Issue 1 (2nd January 2016)

• Record Type: Journal Article
• Authors: Sankaran, P.G.; Anjana, S.
• Is Part Of: Journal of nonparametric statistics. Volume 28:Issue 1(2016)
• Page Start: 68
• Page End: 83
• Publication Date: 2016-01-02
• Subjects: cause-specific reversed hazard rate functions -- proportional reversed hazards model -- left censoring -- competing risks; Nonparametric statistics -- Periodicals; 519.5
• DOI: 10.1080/10485252.2015.1112010
• Languages: English
• ISSNs: 1048-5252

Abstract

Abstract : The proportional reversed hazards model explains the multiplicative effect of covariates on the baseline reversed hazard rate function of lifetimes. In the present study, we introduce a proportional cause-specific reversed hazards model. The proposed regression model facilitates the analysis of failure time data with multiple causes of failure under left censoring. We estimate the regression parameters using a partial likelihood approach. We provide Breslow's type estimators for the cumulative cause-specific reversed hazard rate functions. Asymptotic properties of the estimators are discussed. Simulation studies are conducted to assess their performance. We illustrate the applicability of the proposed model using a real data set.