Abstract
The proportional hazard regression models have been used extensively in survival analysis to understand and exploit the relationship between survival time and covariates. For left censored survival times, reversed hazard rate functions are more appropriate. In this paper, we discuss a parametric proportional reversed hazard rates model using exponential baseline. The estimation for the parameters are discussed. We also assess the performance of the proposed procedure based on a large number of Monte Carlo simulations. Finally, we illustrate the proposed method using a real case example and then we show that it provides a good and better fit than the usual proportional hazards model.
Recommended Citation
Barmalzan, G. and Saboori, H.
(2017).
Proportional Reversed Hazard Rate Models with Exponential Baseline,
Applications and Applied Mathematics: An International Journal (AAM), Vol. 12,
Iss.
2, Article 7.
Available at:
https://digitalcommons.pvamu.edu/aam/vol12/iss2/7