Survival analysis without time-censoring PreviousNext
Mplus Discussion > Growth Modeling of Longitudinal Data >
 Joshua A. Kaiser posted on Monday, June 28, 2010 - 10:35 am
I'm attempting to do a continuous-time survival model where there is actually no censoring or truncation. I know this is a rare situation, but it causes a problem because Mplus won't let me import a variable with no variance and the continuous-time models won't run without the timecensored command. I'm new to Mplus, so perhaps there is an easy fix that I'm missing. Any help would be appreciated.
 Tihomir Asparouhov posted on Monday, June 28, 2010 - 11:25 am
I can't replicate this problem. Please send your example to
 Benjamin Fell posted on Monday, July 31, 2017 - 8:11 am
Has there been any resolution of this issue? I am experiencing the same problem.
 Linda K. Muthen posted on Monday, July 31, 2017 - 9:02 am
Please send your files and license number to
 Boliang Guo posted on Tuesday, April 10, 2018 - 4:25 am
also, just noticed discrete time survival code not workable for data with a time point having no event. see example 6.19 with u0=0 which is true in reality as all subject are included but no event+ no censor at all.

DATA: FILE IS ex6.19.dat;
CATEGORICAL = u1-u4 u0;
MISSING = ALL (999);
usevariable =u1-u4 u0;
define: u0=0;
MODEL: f BY u0-u4@1;
f ON x;

Categorical variable U0 contains less than 2 categories.
 Bengt O. Muthen posted on Tuesday, April 10, 2018 - 3:42 pm
Start with u1 instead of u0.
 Boliang Guo posted on Wednesday, April 11, 2018 - 1:47 am
thanks Bengt
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