PHeval-package: Evaluation of the proportional hazards assumption with a...

In PHeval: Evaluation of the Proportional Hazards Assumption with a Standardized Score Process

Description

This package provides tools for the evaluation of the goodness of fit and the predictive capacity of the proportional hazards model.

Details

Package:	PHeval
Type:	Package
Version:	0.5.1
Date:	2014-04-20
License:	GPL (>=2.0)

This package provides functions to evaluate and plot the standardized score process of OQuigley (2003). The plot of this process over the ranks of the failure times gives an indication of the validity of the proportional hazards assumption. A function to evaluate the R^2 coefficient of OQuigley and Flandre (1994) is provided. This coefficient is a measure of the predictive ability of the proportional hazards model.

Author(s)

Cecile Chauvel <[e-mail]>

References

Chauvel, C. and OQuigley, J. (2014) Tests for comparing estimated survival functions. Biometrika

101, 535-552. https://doi.org/10.1093/biomet/asu015

Chauvel, C. and OQuigley, J. (2017) Survival model construction guided by fit and predictive strength.

Biometrics 73, 483-494. https://doi.org/10.1111/biom.12611

OQuigley, J. (2008) Proportional hazards regression. Springer New-York.

OQuigley J, Flandre P. (1994) Predictive capability of proportional hazards regression. PNAS 91, 2310-2314.

Examples

library(survival)
S=standscore(futime+fustat~resid.ds+rx,data=ovarian)
plotscore(S,printCB = TRUE)
R2(futime+fustat~resid.ds+rx,data=ovarian)

PHeval documentation built on May 1, 2019, 9:21 p.m.