Although not implemnted in Stata there is a program called
CLUMP written by Dave Curtis and Pak Sham which is "designed
to assess the significance of the departure of observed values in a
contingency table from the expected values conditional on the
marginal totals."
The program can deal with 2xN tables and produces novel,
maximised, chi-squared statistics through the "clumping" of
columns together . These inflated chi-squared values are
assessed for significance through Monte Carlo methods.
The original reference is
Sham PC, Curtis D (1995) Monte Carlo tests for associations
between disease and alleles at highly polmorphic loci. Annals of
Human Genetics 59 pp97-105
CLUMP is available for download from Dave Curtis' web-page at
http://www.mds.qmw.ac.uk/statgen/dcurtis/software.html
Whilst it was orignally designed for analysing genetic data the
methods should be applicable to your problem and provide an
alternative to Fisher's exact p-values. (It's also pretty fast!!!).
Regards
Neil
Neil Shephard
Genetics Statistician
ARC Epidemiology Unit, University of Manchester
[email protected]
[email protected]
"Contrariwise, if it was so, it might be; and if it
were so it would be; but as it isn't, it ain't. That's
logic" - Tweedledee (Alice Through the Looking Glass)
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