cox.summary: Summarize after Fitting Cox regression

In greyzoneSurv: Fit a Grey-Zone Model with Survival Data

Description

A wrapper function to summarize 2-group and grey-zone (3-group) models with R^2 and c-index after fitting Cox regression.

Usage

cox.summary(stime, sind, var)

Arguments

stime	A nx1 vector of survival time
sind	A nx1 vector of censoring indicator
var	A nx1 vector of risk groupings to correlate with survival. For the 2-group and 3-group models, it is a categorical vector

Value

It returns a vector with components such as the p value from fitting a Cox regression model, AIC (Akaike information criterion), and the c-index [1, 2], R^2 from the XO method [3], the OXS method [4] and the Nagelkerke method.

References

Harrell F, Califf R, Pryor D, Lee K and Rosati R. Evaluating the yield of medical tests. JAMA: The Journal of the American Medical Association 1982; 247(18):2543-2546.

Harrell F, Lee K, Califf R, Pryor D and Rosati R. Regression modeling strategies for improved prognostic prediction. Statistics in Medicine 1984; 3(2):143-152.

Xu R and O'Quigley J. A R^2 type measure of dependence for proportional hazards models. Nonparametric Statistics 1999; 12:83-107.

O'Quigley J, Xu R and Stare J. Explained randomness in proportional hazards models. Statistics in Medicine 2005; 24:479-489.

See Also

greyzone.func

Examples

#See Examples for greyzone.func in this package.

greyzoneSurv documentation built on May 2, 2019, 9:27 a.m.