Hi everyone,
I would like to perform classical twin modeling on a variable with an inherently very skewed distribution (positive). I asked around a bit and the suggestion I got was to cut my original continuous data into bins, treat the variable as ordinal, and use a threshold liability model. However, this approach still assumes an underlying normal distribution. Would there be any way of generalizing the modelling in OpenMx (as e.g. in generalized linear regression)? Do you have any other suggestions or recommendations?
Cheers,
Örjan
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