Censor-inflated normal model with ran... PreviousNext
Mplus Discussion > Multilevel Data/Complex Sample >
 R McDowell posted on Wednesday, August 17, 2016 - 9:08 am
Hello. I wish to explore fitting a censor-inflated normal model to clustered data in which there is a random slope for predictor A of outcome Y, and for which there appear to be an excess of 0 values in Y than would otherwise be expected.

Before inflation I would specify (for censored outcome Y, censored below):

censored Y(b);

slope1 | Y on A;
slope1 on B C;

Y slope1;
Y with slope1;

Can you advise whether a censored-inflated model makes conceptual sense? Is it necessary to have a random slope for predictor A in the predictor of the inflation part of the model, or could it simply be a fixed effect?

Many thanks for anyone's advice/input.
 Bengt O. Muthen posted on Wednesday, August 17, 2016 - 2:20 pm
Q1. Yes it makes sense.

Q2. No.

Q3. Yes.
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