Proportional cause-specific reversed hazards model

P.G. Sankaran and S. Anjana

Journal of Nonparametric Statistics, 2016, vol. 28, issue 1, 68-83

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.

Date: 2016
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DOI: 10.1080/10485252.2015.1112010

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