Statistical Inference of a Bivariate Proportional Hazard Model with Grouped Data.
This paper proposes a semiparametric proportional hazard model for bivariate duration data in the analysis of two-component systems. Examples include the two infection times of the left and the right kidneys of patients and the two retirement times of married couples. As a generalization of the bivariate exponential distribution a la Marshall and Olkin (1967), the proposed model, on the one hand, controls for the effect of observed covariates, and on the other, achieves great flexibility through nonparametrically specified base-line hazards.
C14 - Semiparametric and Nonparametric Methods ; C24 - Truncated and Censored Models ; C41 - Duration Analysis ; C51 - Model Construction and Estimation