bestbeta: Newton Raphson Fitter for partial likelihood

In PHInfiniteEstimates: Tools for Inference in the Presence of a Monotone Likelihood

Newton Raphson Fitter for partial likelihood

Description

This function implements the approximate conditional inferential approach of \insertCitekz19;textualPHInfiniteEstimates to proportional hazards regression.

Usage

bestbeta(fit, exclude = NULL, start = NULL, touse = NA, usecc = FALSE)

Arguments

fit	Output from a Cox PH regression, with x=TRUE and y=TRUE
exclude	data set with stratum and patient number to exclude.
start	Starting value
touse	columns of the design matrix to use.
usecc	Logical variable indicating whether to use a continuity correction, or nuerical variable representing teh continuity correction.

Value

Fitted survival analysis regression parameter of class coxph

References

\insertRef

kz19PHInfiniteEstimates

Examples

bfit<-coxph(Surv(TIME,CENS)~T+N+CD,data=breast,x=TRUE)
noccfit<-bestbeta(bfit)
bestbeta(bfit,usecc=TRUE,start=noccfit$start)

PHInfiniteEstimates documentation built on Nov. 24, 2023, 9:06 a.m.