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Re: st: Meta-analysis of AUC curves developed using different type of regression models


From   Etan Lakam <etan.lakam@googlemail.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: Meta-analysis of AUC curves developed using different type of regression models
Date   Thu, 26 Jul 2012 17:10:00 -0400

Dear Roger,
I really appreciate your taking the time.
I will try and implement this and keep you posted.
BW,
Etan

On Wed, Jul 25, 2012 at 5:47 AM, Roger B. Newson
<r.newson@imperial.ac.uk> wrote:
> To meta-analyse AUCs, I would use the -somersd- package, downloadable from
> SSC, with the option -transf(c)- to specify confidence intervals for
> Harrell's c (an alias of the AUC). I would use the -parmest- package, also
> downloadable from SSC, to produce an output dataset (or resultsset) with 1
> observation for each subpopulation AUC and data on its estimate, standard
> error and confidence interval. Once you have this resultsset, you have the
> choice of doing the meta-analysis using the -metan- command of Jonathan
> Sterne, Roger Harbord et al., or (alternatively) using the -metaparm- module
> of the -parmest- package, together with the -parmhet- package (also
> downloadable from SSC) to do heterogeneity tests.
>
> I hopwe this helps.
>
> Best wishes
>
> Roger
>
>
> Roger B Newson BSc MSc DPhil
> Lecturer in Medical Statistics
> Respiratory Epidemiology and Public Health Group
> National Heart and Lung Institute
> Imperial College London
> Royal Brompton Campus
> Room 33, Emmanuel Kaye Building
> 1B Manresa Road
> London SW3 6LR
> UNITED KINGDOM
> Tel: +44 (0)20 7352 8121 ext 3381
> Fax: +44 (0)20 7351 8322
> Email: r.newson@imperial.ac.uk
> Web page: http://www.imperial.ac.uk/nhli/r.newson/
> Departmental Web page:
> http://www1.imperial.ac.uk/medicine/about/divisions/nhli/respiration/popgenetics/reph/
>
> Opinions expressed are those of the author, not of the institution.
>
>
> On 19/07/2012 15:20, Etan Lakam wrote:
>>
>> Dear Listers,
>>
>> I have a series of studies of prediction  of an outcome , in which the
>> area under the curve (AUC) or C-statistic was estimated using
>> different variables and different types of regression models (Weibull
>> and Logistic), and I would like to combine the AUCs in a
>> meta-analysis.
>>
>> I have two questions:
>>
>> 1- Which Stata command I use to combine the AUCs if I have these
>> estimates and their standard error or 95%CI confidence intervals?   I
>> really can't get my head around this.
>>
>>
>> 2- Is such a meta-analysis a sensible thing to do given the
>> heterogeneity linked to  the differences in regression models (Weibull
>> and logistic) used for model developement and the differences in
>> variables used for prediction across studies and?
>>
>>
>> Many thanks,
>>
>>
>> Etan
>>
>> PS: Any documentation on the topic (metanalysis of AUCs curves) will
>> also be welcome.
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