You can ignore the message below. The maximizing routine buried within the frailty()
command buried with coxph() has a maximizer that is not the brightest. It sometimes gets
lost but then finds its way again. The message is from one of those. It likely took a
not-so-good update step, and too
Dear Elisabetta,
I have no direct answer to your question, but a suggestion: Use the
'coxme' function (in the package with the same name). In the help page
for 'frailty' (survival) you will find: "The coxme package has
superseded this method. It is faster, more stable, and more flexible."
Ht
Dear users,
I am fitting a conditional gap time frailty cox model weighting
observations by means of inverse probability time dependent weigths.
Attached find the self-explaining dataset.
I have used the following sintax:
coxph(Surv(gaptstart,gaptstop,status)~treat+strata(nrecord01)+frailty(id,d
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