coxphf: Cox Regression with Firth's Penalized Likelihood

Implements Firth's penalized maximum likelihood bias reduction method for Cox regression which has been shown to provide a solution in case of monotone likelihood (nonconvergence of likelihood function). The program fits profile penalized likelihood confidence intervals which were proved to outperform Wald confidence intervals.

AuthorGeorg Heinze [aut, cre], Meinhard Ploner [aut]
Date of publication2016-12-22 12:27:04
MaintainerGeorg Heinze <georg.heinze@meduniwien.ac.at>
LicenseGPL
Version1.12
http://cemsiis.meduniwien.ac.at/kb/wf/software/statistische-software/fccoxphf/

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Files in this package

coxphf
coxphf/src
coxphf/src/coxphf.f90
coxphf/NAMESPACE
coxphf/data
coxphf/data/breast.txt.gz
coxphf/R
coxphf/R/coxphf.R
coxphf/R/decomposeSurv.r
coxphf/MD5
coxphf/DESCRIPTION
coxphf/man
coxphf/man/coxphftest.Rd coxphf/man/coxphfplot.Rd coxphf/man/breast.Rd
coxphf/man/coxphf.rd

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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