This implements various tools to evaluate Cox proportional hazards regression models.
Sean Devlin and Glenn Heller.
Maintainer: Sean Devlin <devlins@mskcc.org>
Currently, this implements the methodology outlined in the following two papers. The first is Devlin, Gonen, and Heller (2020) that evaluates the discriminatory power of a baseline-derived risk score over time. This same method is used to evaluate the concordance probability estimate (CPE) up until the follow-up duration of a given study.
The second is Heller and Devlin (under review) that develops a projection-based approach to estimate the CPE from nested survival models.
Devlin, Sean M., Mithat Gonen, and Glenn Heller. Measuring the temporal prognostic utility of a baseline risk score. Lifetime data analysis 26.4 (2020): 856-871.
Heller, Glenn, and Sean M. Devlin. Measuring the Impact of New Risk Factors Within Survival Models. Under Review.