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st: Re: Fisher's exact test in r x c contingency tables
At 17:16 02/06/2005, Mike Lacy wrote (amongst other useful stuff):
>What is your opinion? At the moment I rather think about applying
Alternatives to Kruskal's gamma include Somers' D and Kendall's tau-a,
which can be estimated with confidence intervals using the -somersd-
package (downloadable from SSC). More about the case for confidence
intervals for Somers' D and Kendall's tau-a can be found in Newson (2002),
of which you can download a preprint from my website (see my signature below).
>tests that were designed for ordinal / ordinal relationships in r x c
>contingency tables (say, Goodman and Kruskal's gamma) than
>embarking on a potentially hazardous procedure.
If your variables are nominal, gamma would not make sense. However, if
your variables are actually ordered but your data are sparse, you might
want to bootstrap the Gamma value:
bootstrap r(gamma), reps(1000) : tabulate rep78 pricecat, gamma
Hope this helps.
Newson R. 2002. Parameters behind "nonparametric" statistics: Kendall's
tau, Somers' D and median differences. The Stata Journal 2(1): 45-64.
Lecturer in Medical Statistics
Department of Public Health Sciences
Division of Asthma, Allergy and Lung Biology
King's College London
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