Assessing survival models by interval testing

When considering many survival models, decisions become more challenging in health economic evaluation. In this paper, we present a set of methods to assist with selecting the most appropriate parametric survival models. The methods highlight areas of particularly poor fit. Furthermore, plots and overall p-values provide guidance on whether a parametric survival model should be rejected or not.