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The R package coxphw implements weighted estimation in Cox regression as proposed by Schemper, Wakounig and Heinze (Statistics in Medicine, 2009, https://doi.org/10.1002/sim.3623) and as described in Dunkler, Ploner, Schemper and Heinze (Journal of Statistical Software, 2018, https://doi.org/10.18637/jss.v084.i02). The package provides options to estimate time-dependent effects conveniently by including interactions of covariates with arbitrary functions of time, with or without making use of the weighting option.

This package is licensed under GPL-3, and available on CRAN: https://cran.r-project.org/package=coxphw.

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Install

install.packages('coxphw')

Monthly Downloads

447

Version

4.0.3

License

GPL-3

Issues

2

Pull Requests

0

Stars

1

Forks

0

Maintainer

Daniela Dunkler

Last Published

November 28th, 2023

Functions in coxphw (4.0.3)

plot.coxphw

Plot Weights of Weighted Estimation in Cox Regression
wald

Wald-Test for Model Coefficients
vcov.coxphw

Obtain the Variance-Covariance Matrix for a Fitted Model Object of Class coxphw
print.coxphw.predict

Print Method for Objects of Class predict.coxphw
plot.coxphw.predict

Plot the Relative or Log Relative Hazard Versus Values of a Continuous Covariable.
print.coxphw

Print Method for Objects of Class coxphw
confint.coxphw

Confidence Intervals for Model Parameters
PT

Pretransformation function
gastric

Gastric Cancer Data
predict.coxphw

Predictions for a weighted Cox model
coef.coxphw

Extract Model Coefficients for Objects of Class coxphw
concord

Compute Generalized Concordance Probabilities for Objects of Class coxphw or coxph
biofeedback

Biofeedback Treatment Data
coxphw

Weighted Estimation in Cox Regression
fp.power

Provides Fractional Polynomials as Accessible Function
coxphw-package

Weighted Estimation in Cox Regression
summary.coxphw

Summary Method for Objects of Class coxphw
coxphw.control

Ancillary arguments for controlling coxphw fits