How to interpret continuous-time surv... PreviousNext
Mplus Discussion > Growth Modeling of Longitudinal Data >
 Patchara Popaitoon posted on Friday, April 13, 2012 - 12:38 pm
Dear Linda,

I have a question on result interpretation for the continuous-time survival analysis. Following example 6.21, I specified a model in which SURVIVAL = days to event (DTE) and TIMECENSORED = resign (0 = resign or NOT; 1 = stay or RIGHT censored). I have a few explanatory variables (X1-X4). I would like to know if I interpret this correctly. The negative coefficients between X-variables and DTE suggest that the probability that the respondents will resign from the program is getting lower if they rated higher on X-variables. In contrast, the positive effects suggest there is a high probability that the respondents will leave the program if they rated high on X-variables. Thanks.
 Linda K. Muthen posted on Friday, April 13, 2012 - 2:26 pm
This sounds correct.
Back to top
Add Your Message Here
Username: Posting Information:
This is a private posting area. Only registered users and moderators may post messages here.
Options: Enable HTML code in message
Automatically activate URLs in message