Monte carlo for logistic regression PreviousNext
Mplus Discussion > Missing Data Modeling >
 Ole Melkevik posted on Tuesday, February 21, 2012 - 6:40 am
Dear muthens

I have been struggeling to run a fairly simple monte carlo simulation.

My aim is to investigate the extent to which non-random missingness influence the intercept and estimates of association between a continous predictor and a dichotomous outcome. I basically want to run a simple logistic regression model where I manipulate the extent to which missingness is associated with the the predictor and the dichotomous dependent outcome.

I would be grateful for any feedback or perhaps an example of a basic syntax to work from.

 Linda K. Muthen posted on Tuesday, February 21, 2012 - 1:51 pm
If you want missingness on the dependent variable to be a function of the predictor, use MODEL MISSING. See Example 12.2.
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