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drizopoulos avatar drizopoulos commented on August 16, 2024

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agstone90 avatar agstone90 commented on August 16, 2024

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?

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jinjinzhou avatar jinjinzhou commented on August 16, 2024

Even tried coxph model, I still have this error

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rberch avatar rberch commented on August 16, 2024

Hi @jinjinzhou, please, did you find a solution to this? I have run into a similar situation.
Thanks

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jinjinzhou avatar jinjinzhou commented on August 16, 2024

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

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rberch avatar rberch commented on August 16, 2024

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.

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mariellabogoni avatar mariellabogoni commented on August 16, 2024

@rberch Did you find a solution? I have the same problem. Thank you!

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