[R] Regression with 3 measurement points
Bert Gunter
gunter.berton at gene.com
Wed Jan 23 15:36:21 CET 2013
Post elsewhere (e.g. stats.stackexchange.com). This is not a
statistical tutorial site.
-- Bert
On Wed, Jan 23, 2013 at 5:28 AM, Torvon <torvon at gmail.com> wrote:
> Dear R Mailinglist,
>
> I want to understand how predictors are associated with a dependent
> variable in a regression. I have 3 measurement points. I'm not interested
> in understanding the associations of regressors and the predictor at each
> measurement separately, instead I would like to use the whole sample in one
> regression, "pooling" the measurement points.
>
> I cannot simply throw them together, because the observations are not
> independent.
>
> Therefore, I think I need to add time as a regressor. How do I do this in
> R? Google leads me to "time-series analysis" more often than not, but from
> in other statistical programs and longitudinal research, the word
> "time-series" is usually reserved for 5+ measurement points.
>
> Thank you
> T
>
> [[alternative HTML version deleted]]
>
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--
Bert Gunter
Genentech Nonclinical Biostatistics
Internal Contact Info:
Phone: 467-7374
Website:
http://pharmadevelopment.roche.com/index/pdb/pdb-functional-groups/pdb-biostatistics/pdb-ncb-home.htm
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