Title of article :
Parametric regression analysis of bivariate the proportional hazards model with current status data
Author/Authors :
Kamil Ghafil, Wisam Department of Mathematics - College of Education for Pure Sciences - University of Thi-Qar, Thi-Qar, Iraq , Hasan Shamkhi, Rana Department of Pharmacognosy and Medicinal Plant - College of Pharmacy - University of Basrah, Basrah, Iraq
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.
Keywords :
Bivariate current status data , Efficient estimation , Hazards Model
Journal title :
International Journal of Nonlinear Analysis and Applications
