Re: [R] longitudinal survey data

From: <>
Date: Sat 28 May 2005 - 00:06:07 EST

Thank you for your reply.

Does that mean that in order to take in account the repeated measures I denote these as another cluster in R?


Quoting Thomas Lumley <>:

> On Thu, 26 May 2005 wrote:
> >
> > Dear R-Users!
> >
> > Is there a possibility in R to do analyze longitudinal survey data
> (repeated
> > measures in a survey)? I know that for longitudinal data I can use lme()
> to
> > incorporate the correlation structure within individual and I know that
> there is
> > the package survey for analyzing survey data. How can I combine both? I
> am
> > trying to calculate design-based estimates. However, if I use svyglm() from
> the
> > survey package I would ignore the correlation structure of the repeated
> measures.
> >
> You *can* fit regression models to these data with svyglm(). Remember that
> from a design-based point of view there is no such thing as a correlation
> structure of repeated measures -- only the sampling is random, not the
> population data.
> If you *want* to fit mixed models (eg because you are interested in
> estimating variance components, or perhaps to gain efficiency) then it's
> quite a bit trickier. You can't just use the sampling weights in lme().
> You can correct for the biased sampling if you put the variables that
> affect the weights in as predictors in the model. Cluster sampling could
> perhaps then be modelled as another level of random effect.
> -thomas
> Thomas Lumley Assoc. Professor, Biostatistics
> University of Washington, Seattle
> mailing list PLEASE do read the posting guide! Received on Sat May 28 00:18:59 2005

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