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Re: st: Pattern mixture models
You might configure a pattern dropout vector and multiply it by your other main and interaction effects so as to render all such effects interactions within the GEE framwork.
- Bob Yaffee
Robert A. Yaffee, Ph.D.
Senior Research/Statistical Consultant
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----- Original Message -----
From: John Hennen <firstname.lastname@example.org>
Date: Wednesday, June 25, 2003 5:46 pm
Subject: st: Pattern mixture models
> Does anyone know if there has there been a Stata implementation of the
> "generalized linear mixture models for handling nonignorable
> dropouts in
> longitudinal studies" proposed by Fitzmaurice and Laird (2000).
> Citation: Fitzmaurice GM, Laird NM. Generalized linear mixture models
> for handling nonignorable dropouts in longitudinal studies.
> Biostatistics 2000;1:141-156.
> findit pattern mixture models and findit linear mixture models
> turns up
> nothing at all.
> John Hennen
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