Comments (7)
from jm.
Hi Dr Rizopoulos,
Thank you so much for responding! It does seem to be running now that I've switched to coxph. Is there a reason that one should work and not the other? Given a time-independent covariate, would both produce the same model?
from jm.
Even tried coxph model, I still have this error
from jm.
Hi @jinjinzhou, please, did you find a solution to this? I have run into a similar situation.
Thanks
from jm.
Hi @jinjinzhou, please, did you find a solution to this? I have run into a similar situation. Thanks
For my situation, it is related to how I bin my longitudinal markers, i.e., some of them were measured on the same day or even more frequently. I filtered those when Tstart-stop < threshold
from jm.
Hi @jinjinzhou, please, did you find a solution to this? I have run into a similar situation. Thanks
For my situation, it is related to how I bin my longitudinal markers, i.e., some of them were measured on the same day or even more frequently. I filtered those when Tstart-stop < threshold
Thank you @jinjinzhou ,
In my case, I am doing a simulation study. I simulate the longitudinal data and survival data (which has the ID, event status, and follow-up time) using simsurv.
And then when I fit the linear mixed model and coxph, they run without errors.
However, when I run the jointModel, that is when I get the error:
Error in aeqSurv(Y) :
aeqSurv exception, an interval has effective length 0
I have searched online for possible solutions but I have not found any.
from jm.
@rberch Did you find a solution? I have the same problem. Thank you!
from jm.
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from jm.