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st: test for trend in r x c tables with clustering
From
"Sheena Sullivan" <[email protected]>
To
<[email protected]>
Subject
st: test for trend in r x c tables with clustering
Date
Mon, 4 Mar 2013 15:13:53 +1100
I have r x c data that look something like this
X year cluster
4 1 100
7 6 209
4 1 200
1 2 201
2 3 404
3 2 500
There are up to 7 categories of variable X, up to 6 years, and up to 500
clusters (that complete dataset is around 250,000 observations).
I want to be able to test for trend across years. I found some very helpful
guidance from William Sribney on the Stata website at
http://www.stata.com/support/faqs/statistics/test-for-trend/
There, he suggests using -regress- to obtain a p-value for a test of trend.
However, I'm unsure whether it is appropriate to take this guidance one step
further and use -xtmixed- to obtain cluster-adjusted estimates for trend.
If I understand correctly, I can test for trend without clustering using
-regress- (even though X is categorical, not continuous):
. regress X year
To account for clustering, with -xtmixed- this would change to:
. xtmixed X year || cluster
I presume then that the p-value for the model (i.e. Prob > chi2) is for the
trend across years, with standard errors adjusted for clustering.
Could someone please advise whether this is a sensible approach?
I am using Stata 12 on Windows 7.
Kind regards
Sheena
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