Proportional reversed hazard rate models with exponential baseline

‎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)