Dear Stata users,
I posted a message last week and did not receive any
replies. So let me ask it more simply:
How can I best analyze (estimate and adjust for
covariates) a dichotomous outcome measured in a 100%
sample of patients at 5 different clinics when there
is significant clinic to clinic variation in the
measured outcome?
Thank you,
Ricardo.
--- Ricardo Ovaldia <[email protected]> wrote:
> Dear Stata users,
>
> I have data from women seen at 5 outpatient clinics.
> One of the outcome variables of interest is whether
> or
> not women are routinely performing self-breast
> exams.
> We are interested in determining factors associated
> with this outcome. In the entire dataset African
> American women perform self-breast exams less often
> than Caucasian women (OR=1.96). However in one of
> the
> clinics the rate among African American is higher
> than
> in Caucasian women (an interaction between clinic
> and
> race?). I had decided to estimate all odds ratios
> using -clogit- to account for the clinic effect.
> When
> I do this for race I get an even more significant
> OR=
> 2.5678 (same direction). Is it correct to use
> -clogit-
> as I did or do I need to something different such as
> a
> stratified analysis?
>
> Thank you,
> Ricardo.
>
>
>
> =====
> Ricardo Ovaldia, MS
> Statistician
> Oklahoma City, OK
>
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