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

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.

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

Bivariate current status data , Efficient estimation , Hazards Model

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

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Department of Mathematics, College of Education for Pure Sciences, University of Thi-Qar, Thi-Qar, Iraq

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Department of Pharmacognosy and Medicinal Plant, College of Pharmacy, University of Basrah, Basrah, Iraq

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https://civilica.com/doc/1561202

Document National Code:

JR_IJNAA-12-2_122

Index date: 2 December 2022

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