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Mplus Discussion > Growth Modeling of Longitudinal Data >
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 Gideon Bahn posted on Tuesday, December 28, 2010 - 8:07 am
Dear Dr. Muthen,
Did anyone work on multivariate survival model in SEM? I tried to find but not successful. Would you let me know if you have any info, please?
 Tihomir Asparouhov posted on Tuesday, December 28, 2010 - 8:52 am
Take a look at sections 3.1 and 3.2 in http://statmodel.com/download/SurvivalJSM3.pdf
 Gideon Bahn posted on Wednesday, December 29, 2010 - 1:02 pm
Thank you for sending this article. I read and made this model, which works but gives me a little message.

variable: names are ID insul prim trt time mi chf cor amput;
Usevariables = trt prim time mi chf cor amput;
survival = time (all);
timecensored = prim (0=not 1=right);
CATEGORICAL = mi chf cor amput;
Analysis: Algorithm = integration;
basehazard = on;
Model: prime1 by mi-chf@1 ;
prime2 by cor-amput@1;
time ON trt prime1 prime2;
prime1 on trt ;
prime2 on trt;

OUTPUT: TECH1 TECH8;

THE MODEL ESTIMATION DID NOT TERMINATE NORMALLY DUE TO A NON-ZERO
DERIVATIVE OF THE OBSERVED-DATA LOGLIKELIHOOD.

THE MCONVERGENCE CRITERION OF THE EM ALGORITHM IS NOT FULFILLED.
CHECK YOUR STARTING VALUES OR INCREASE THE NUMBER OF MITERATIONS.
ESTIMATES CANNOT BE TRUSTED. THE LOGLIKELIHOOD DERIVATIVE
FOR PARAMETER 6 IS 0.10898725D-01.
 Linda K. Muthen posted on Thursday, December 30, 2010 - 5:51 am
Please send your output and license number to support@statmodel.com.
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