Thanks to Philip and Neil for their advice.
Philip's proposal is absolutely compatible with survey data, but I was
interested in a summary statistic of the type of Pearson chi-squared.
To this respect, Neil puts forward a test (nptrend) that would be
perfect if it allowed complex survey specifications. I believe strata
and clusters are not important because the formula for the standard
error of this nonparametric test (see Stata Reference Manual K-Q page
338) should not be affected by these specifications. But nptrend does
not accept weights as an option, what I think makes it unsuitable for
complex survey analyses.
Angel Rodriguez Laso
2008/9/29 Philip Ryan <[email protected]>:
>
> For a 2 x k table [with a k-category "exposure" variable] just set up a logistic
> dose-response model:
>
> svyset <whatever>
> svy: logistic <binary outcome var> <exposure var>
>
> and check the coefficient of <exposure var>, along with its confidence interval
> and P-value.
>
> If you prefer a risk metric rather than odds, then use svy: glm..... with
> appropriate link and error specifications.
>
> Phil
>
>
> Quoting �ngel Rodr�guez Laso <[email protected]>:
>
>> Dear Statalisters,
>>
>> Is there a way to carry out a test for trend in a two-way table in
>> survey analysis in Stata?
>>
>> Many thanks.
>>
>> Angel Rodriguez Laso
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>>
>
>
> --
> Philip Ryan
> Professor
> Discipline of Public Health
>
> Director, Data Management and Analysis Centre
> Associate Dean (IT)
> Faculty of Health Sciences
>
> University of Adelaide
> 5005 South Australia
> AUSTRALIA
> CRICOS Provider Number 00123M
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