4
$\begingroup$

I am looking for a repeated measures version of the Logrank test. If I am correct, I am looking for an equivalent of the Friedman test for survival data.

Any suggestions on where to look? (and R code will always be welcomed :) )

Thanks.

$\endgroup$
  • $\begingroup$ More information on the nature of the repetitions would be helpful. Perhaps clustered survival data methods including frailty models apply (and perhaps not). $\endgroup$ – Aniko Apr 27 '11 at 19:16
  • $\begingroup$ There are n subjects, each one has k tasks timed. I wish to compare the timing of the tasks between each other (are there timing different or not). But they are dependent through the subject. (Thanks) $\endgroup$ – Tal Galili Apr 27 '11 at 20:52
2
$\begingroup$

You can probably use a so-called marginal survival model. It would be more like Cox-regression than a log-rank test, i.e. proportional hazards for the effect of task would be assumed. It is implemented in the survival package:

mod <- coxph(Surv(time, censor) ~ task + cluster(id))

Here task would be a factor representing the task, and id would identify the subject. There is a book that goes into lots of detail on multivariate survival data: T.Therneau, P. Grambsch. Modeling Survival Data: Extending the Cox Model. Springer, 2000.

| cite | improve this answer | |
$\endgroup$

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.