1
$\begingroup$

I have various samples on which three survival time variates have been collected. How can I compare the difference of such variates taking into account within subject correlation (possibly in R)?

$\endgroup$
  • 1
    $\begingroup$ Would this be something like time to first, second and third infection/time to failure of three different parts of a machine/time to different disease stages? How are the measures related? Are they strictly ordered? $\endgroup$ – tristan Feb 24 '14 at 22:20
  • 1
    $\begingroup$ They represent measurements time of a quantity on the same sample by three different devices. In theory they do not influence each other ... $\endgroup$ – Giorgio Spedicato Mar 5 '14 at 21:54
2
$\begingroup$

If this is a simple subject correlation (i.e. like random intercepts in a mixed effects model), one can use a frailty model. An R-package to do this is "frailtypack".

If you wanted to fit more complex random effects, you can use the R-package "coxme" for fitting a Cox-PH model with general random effects.

$\endgroup$

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Not the answer you're looking for? Browse other questions tagged or ask your own question.