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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), see Heinze and Schemper (2001) and Heinze and Dunkler (2008). The program fits profile penalized likelihood confidence intervals which were proved to outperform Wald confidence intervals.
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Package details |
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| Author | Georg Heinze [aut, cre], Meinhard Ploner [aut], Lena Jiricka [aut], Gregor Steiner [aut] |
| Maintainer | Georg Heinze <georg.heinze@meduniwien.ac.at> |
| License | GPL |
| Version | 1.13.4 |
| URL | https://cemsiis.meduniwien.ac.at/kb/wf/software/statistische-software/fccoxphf/ |
| Package repository | View on CRAN |
| Installation |
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