Investigating the Use of the Accelerated Hazards Model for Survival Analysis
This project contrasts the Proportional Hazards, Accelerated Failure Time and Accelerated Hazards (AH) models in the analysis of time to event data. The AH model handles data that exhibit crossing of the survival and hazard curves, unlike the other two models considered. The three models are illustrated on five contrasting data sets. A simulation study is conducted to assess the small sample performance of the AH model by quantifying the mean squared error of the predicted survivor curves under scenarios of crossing and noncrossing survivor curves. The results show a lack of robustness of the AH model when the true model is not from the same family. Problems with variance estimation of parameters in the AH model are observed for small sample sizes and a bootstrap approach is offered as an alternate method of quantifying precision of estimates.
This type of interdisciplinary work is a hallmark of our program in Applied Statistics at Simon Fraser University. For more information, please contact Caroll Co (firstname.lastname@example.org) or her supervisor Charmaine Dean (email@example.com), Department of Statistics and Actuarial Science, Simon Fraser University.