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Re: st: RE: RE: Using command svy glm to obtain risk ratios
From
Steve Samuels <[email protected]>
To
[email protected]
Subject
Re: st: RE: RE: Using command svy glm to obtain risk ratios
Date
Tue, 18 Feb 2014 13:47:45 -0500
I think you've discovered a bug, and I've reported it to Technical Support. In the meantime,
the following give exponentiated coefficients.
*************CODE BEGINS*************
webuse nhanes2, clear
svy jackknife slope = ///
exp(_b[weight]) constant=exp(_b[_cons]) : ///
glm highbp weight, fam(binom) link(logit)
svy jackknife: logistic highbp weight
**************CODE ENDS**********
On Feb 18, 2014, at 10:16 AM, "Agunwamba, Amenah A., Ph.D." <[email protected]> wrote:
Hi Steve,
Thanks so much for your comments and your reference. I will take a look - I used the sample code using the online NHANES code, and it worked. However, while I just tweaked my code to include my own variables, I was still unable to obtain RRs.
I had tried to put my code in previous messages, but it kept getting bounced, so I gave up...Let me try again.
I am using data from the adult California Health Interview Survey (CHIS). I am modeling a continuous predictor (composite) against a dichotomous outcome (fastf2 ). My code is as follows:
. svy : glm fastf2 composite, fam(bin) link(logit) eform
***RESULTS BELOW****
(running glm on estimation sample)
Jackknife replications (80)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5
.................................................. 50
..............................
Survey: Generalized linear models
Number of strata = 1 Number of obs = 38592
Population size = 26287357
Replications = 80
Design df = 79
------------------------------------------------------------------------------
| Jknife *
fastf2 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
composite | -.1805861 .0180401 -10.01 0.000 -.2164941 -.1446782
_cons | -.5332004 .0196523 -27.13 0.000 -.5723172 -.4940835
------------------------------------------------------------------------------
Hope this goes through!
~AAA
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