Tim Stump posted on Saturday, May 09, 2009 - 9:37 pm
I have two time to event variables which I'm interested in modeling simultaneously: time to first hospitalization and then time to second hospitalization (or rehospitalization). The data I have are from a clinical trial and there are two treatment groups which I would like to compare. I'd like to know if anyone has created a model for this scenario. Any suggestions or examples you might have would be much appreciated. Thanks.
You may also want to take a look at her dissertation, which is available under Papers->Survival Analysis on the Mplus website.
Melanie Wall posted on Thursday, December 15, 2011 - 9:37 am
I am looking for example Mplus code to fit a model like the one in Section 3.1 "Frailty models" of the paper entitled... Continuous Time Survival in Latent Variable Models by Tihomir Asparouhov, Katherine Masyn, Bengt Muthen.
I looked at Katherine's course notes and I don't think I saw an example like the leukemia time to relapse and time to death example covered.
Tim Stump posted on Thursday, April 12, 2012 - 11:34 am
Is it possible to model two parallel time to event processes with mplus? For example, for a particular cohort of subjects I'd like to model time from a screening date to 1) first evidence of depression and 2) first evidence of stroke. I've looked at Tihomir Asparouhov's paper-Continuous Time Survival in Latent variable models, but I thought this was for sequential processes. I'm specifically interested in the parallel case and if my two time-to-event processes are correlated. If this is possible with mplus, would you have mplus code to estimate this model? Thanks.
Yes, this is possible. See examples under discrete-time and continuous-time survival in the user's guide. Just extend them to include two processes. I would fit each process separately as a first step.
Tim Stump posted on Friday, April 13, 2012 - 5:38 am
Thank you. I see now that I can estimate both parallel survival process simultaneously in a single mplus run, but is it possible to estimate a correlation (or covariance) between the two parallel survival processes or does the model assume they are uncorrelated?
You can estimate a covariance. Once you get your model going, send the output and your license number to email@example.com and I will help you set this up.
David Kerr posted on Monday, April 22, 2013 - 10:20 am
My question is similar to Tim Stump's: I want to test whether one survival process (age at 1st abuse experience right censored at baseline of an intervention trial) predicts concurrent or future survival processes, such as age at first suicide attempt (not censored at baseline) or time to first attempt after baseline. I have output for the latter (simultaneous cox regressions of time to first abuse and time to post-baseline attempt). I would appreciate any suggestions.