Steven,
I'll give it a try. I am analyzing NHANES III data and using their final probability weight that applies to my subpopulation of interest (adolescents) per their analytic and reporting guidelines (1996 version). All of the Stata documents I have read stated that frequency and probability weights were not interchangeable. I do realize that I am new to this whole arena and truly appreciate your assistance. Thanks so much.
Sharonda Alston Taylor, MD
Adolescent Medicine Fellow
Department of Pediatrics
Section of Adolescent Medicine & Sports Medicine
Baylor College of Medicine
Texas Children's Hospital
(O) 832-822-0612
________________________________
From: [email protected] on behalf of Steven Joel Hirsch Samuels
Sent: Tue 8/21/2007 1:05 PM
To: [email protected]
Subject: Re: st: ROC with complex data sets
Sharonda,
I believe you are mistaken.
Although the weighting computations may be complicated, all
probability surveys wind up with a "final" weight variable; call it
"final_wt". It is the one that would be designated the probability
weight in -svyset- , via "[pweight=final_wt]", and it is the one you
would round to create a frequency weight. If that final weight
variable is not present in your data, then contact the survey
developers or the documentation for advice on how to calculate it.
Stratification and clustering will not affect the computation of
sensitivity and specificity and, by extension, the ROC curves. Only
the p-values, standard errors, and C.I.'s will be incorrect.
Note: There can be many "final weights" in a survey data set. but
only one will be used at a time. In the 1999-2000 National Health
And Nutrition Examination Survey, for example, there were exam
weights, interview Weights, and a variety of weights for analyses of
chemicals that were measured only in sub-samples. Problems do arise
for investigators who want to analyse the association of two
chemicals not always measured together.
Steven
On Aug 21, 2007, at 10:48 AM, Taylor, Sharonda A. wrote:
> Steven,
> Thanks for the input. The problem is that I cannot simply convert
> pweights to frequency weights by rounding. They are derived at in
> very different ways. Even with using svyset, I cannot run ROC
> because it does not take into account the complex design or the
> pweights. Any other suggestions? Am I doomed to hand calculate this?
>
> On Aug 20, 2007, at 8:34 AM, Taylor, Sharonda A. wrote:
>>
>> I am very new to research. I am attempting to do ROC analysis using
>> a complex survey that uses pweights. Stata 9.2 uses frequency
>> weights. I understand that pweights and fweights are not
>> interchangeable. Are there any downloads that will allow me to run
>> the analysis with the pweights? Please advise.
>
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