Parametric regression analysis of bivariate the proportional hazards model with current status data

Abstract

In this paper, we show the maximum sieved probability of each of the finite Dimensional parameters in a marginal Proportional Hazards risk model with bivariate current position data. We used the copula model to model the combined distribution of bivariate survival times. Simulation studies reveal that the proposed estimations for it have good finite sample properties.