Re: st: Unbalanced repeated measures analysis question

[Anders Alexandersson <andersalex@gmail.com>]

Karin, this was suggested in another thread about a week ago and I
think it applies here too:
You can try -icc23-, which is downloadable in Stata (type: findit icc23).

It will compute four types of intra-class correlations (ICC) -- [2,1],
[2,k], [3,1], [3,k] -- easier than xtmixed.
Are you interested in one of these ICC models or in something else?

Anders Alexandersson
andersalex@gmail.com


On Wed, Jul 21, K Jensen <k.x.jensen@gmail.com> wrote:
I have data on measuring a biological property for three different
> methods plus a gold standard. Different people were trained in each
> method (1,2 or 3) and measured the same subjects during different
> sessions, together with the gold standard measurement.
>
> So the data look like
> SubjectID MeasurerID MeasurerType Result GoldStandard  Diff
> 1         1          1            95     99            -4
> 1         2          3            102    99            +3
> 1         3          2            92     99            -7
> ...
> 1        10          3            105    99            +6
> 2         1          3             98   100            -2
> ...
>
> Sometimes patients would be called in to see the consultant and so
> missed for a particular measurer, but otherwise all the measurers
> would measure all the patients seen in a particular session. Different
> sets of measurers (but all trained by methods 1,2 or 3) were used on
> each session (individual measurers 1-10 on session 1, 11-20 on session
> 2 etc).
>
> The gold standard measurements on each session are roughly normally
> distributed, as are the differences from the gold standard. We are
> interested in the accuracy of each of the three methods.
>
> Is it OK to do some sort of repeated measures ANOVA here, with an
> unbalanced design? If it is what would be the syntax (Stata 10)? Sorry
> to sound pathetic but I just can't get the anova command with the
> repeated option to work here.
>
> Is there a better measure to use than the difference to reflect the
> fact that we are interested in a comparison with a gold standard?
>
> Thankyou
> Karin

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