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Mplus Discussion > Growth Modeling of Longitudinal Data >
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 Graciela Muniz posted on Saturday, March 10, 2012 - 7:39 am
Dear Dr. Muthen,
I am curious about a method I read about recently.
In a study, Y individuals were followed up over time. Of these Y individuals, X died and neuropathology data was collected after their death (Y=6X, to give some idea of sample sizes).
An outcome variable that had been measured during the study in the full sample of Y individuals was modeled using a growth model with factor loadings fixed at 0 and 1. The intercept and slope of the growth model were regressed on the neuropath data collected in the subsample of X deceased individuals.

Leaving aside potential issues with missing data, I am uncomfortable with the idea of regressing the intercept and slope on variables measured after the change (estimated by the slope) already happened. Similarly, with regressing the intercept.

Is this method correct? Thanks,
Graciela
 Linda K. Muthen posted on Saturday, March 10, 2012 - 3:16 pm
I would think the most you could do is correlate the neuropathology data with i and s. I would not regress i and s on them.
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