On 10 Noll 2008, at 12:09, K Jensen wrote:
I tried doing this as what I have seen described as a "Replicated
G-test of independence" (I had to do this in Excel - if anyone knows
how to do it in Stata, that would be really useful for future
projects) and got the following results:-
Pop G df p
1 1.46 1 0.2271
2 0.53 1 0.4681
3 3.74 1 0.0533
4 0.02 1 0.9002
5 1.23 1 0.2679
Total G 6.96 5 0.2233
Pooled G 4.84 1 0.0278
Heterogeneity G 2.12 4 0.0000
The G-test is, as far as I am aware, what Stata refers to as the
likelihood ratio Chi-square. Since the values of G can be summed, you
can do the generalised test by doing a simple -tabulate- using the -
by- option to obtain separate tables for each population, then add the
likelihood ratio Chi-squares and degrees of freedom.
Someone's borrowed my manual, so I cannot check whether -mhodds- may
not do a generalised G-test for heterogeneity. Perhaps someone could
check this while I wander down the corridor to try and see where my
manual has gone...
Ronan Conroy
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Royal College of Surgeons in Ireland
Epidemiology Department,
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http://rcsi.academia.edu/RonanConroy
P Before printing, think about the environment
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