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coxphw  

Weighted Estimation in Cox Regression
View on CRAN: Click here


Download and install coxphw package within the R console
Install from CRAN:
install.packages("coxphw")

Install from Github:
library("remotes")
install_github("cran/coxphw")

Install by package version:
library("remotes")
install_version("coxphw", "4.0.3")



Attach the package and use:
library("coxphw")
Maintained by
Daniela Dunkler
[Scholar Profile | Author Map]
First Published: 2008-05-25
Latest Update: 2023-11-28
Description:
Implements weighted estimation in Cox regression as proposed by Schemper, Wakounig and Heinze (Statistics in Medicine, 2009, ) and as described in Dunkler, Ploner, Schemper and Heinze (Journal of Statistical Software, 2018, ). Weighted Cox regression provides unbiased average hazard ratio estimates also in case of non-proportional hazards. Approximated generalized concordance probability an effect size measure for clear-cut decisions can be obtained. 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.
How to cite:
Daniela Dunkler (2008). coxphw: Weighted Estimation in Cox Regression. R package version 4.0.3, https://cran.r-project.org/web/packages/coxphw. Accessed 13 Apr. 2025.
Previous versions and publish date:
1.0 (2008-05-25 21:19), 1.1 (2008-07-28 08:12), 1.3 (2009-06-05 15:40), 2.11 (2011-10-26 19:59), 2.12 (2012-09-14 12:04), 2.13 (2013-11-04 17:51), 3.0.0 (2014-04-08 16:40), 4.0.0 (2017-01-02 16:53), 4.0.1 (2018-04-17 18:32), 4.0.2 (2020-06-22 10:40)
Other packages that cited coxphw R package
View coxphw citation profile
Other R packages that coxphw depends, imports, suggests or enhances
Complete documentation for coxphw
Functions, R codes and Examples using the coxphw R package
Some associated functions: PT . biofeedback . coef.coxphw . concord . confint.coxphw . coxphw-package . coxphw.control . coxphw . fp.power . gastric . plot.coxphw . plot.coxphw.predict . predict.coxphw . print.coxphw . print.coxphw.predict . summary.coxphw . vcov.coxphw . wald . 
Some associated R codes: Full coxphw package functions and examples
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