st: test for homogeneous odds ratios in D+L random effects model

[Jonathan Sterne <Jonathan.Sterne@bristol.ac.uk>]

Hi - you need meta-regression implemented in the Stata command metareg - I 
recommend that you read Roger Harbord's recent article in the Stata Journal.

Best wishes

Jonathan Sterne

--On 30 September 2010 02:33 -0400 statalist-digest 
<owner-statalist@hsphsun2.harvard.edu> wrote:

> Date: Wed, 29 Sep 2010 11:33:55 -0500
> From: Xin Lu <xinlu2004@gmail.com>
> Subject: st: test for homogeneous odds ratios in D+L random effects model
>
> We are collaborating with some investigators off site on a
> meta-analysis regarding mortality of tele-ICU?implementation (Post
> versus Pre). We are using STATA metan package to conduct D+L random
> effects model to pool the odds ratios of mortality from various
> studies, and also conducting subgroup analysis based on vendor
> affiliation (vendor affiliated versus not vendor affiliated). The
> investigators off site asked us to test for homogeneous odds ratios
> between the two subgroups (vendor affiliated versus not vendor
> affiliated). However, as far as we can find, such test (breslow-day
> test) can only be performed using fixed inverse variance model, which
> differs from the D+L random effects model we are using. They insisted
> there should be a way to do it. We are not expert on meta-analysis,
> and therefore we can't say for sure there is no way to achieve it.
>
> Any insights?
>
> Thanks a million!
> Xin




----------------------

Jonathan Sterne
Professor of Medical Statistics and Epidemiology
School of Social and Community Medicine
University of Bristol
Canynge Hall
39 Whatley Road
Bristol BS8 2PS
UK

Tel:    0117 928 7396
Fax:    0117 928 7325
E-mail: jonathan.sterne@bristol.ac.uk
web:    www.epi.bris.ac.uk/staff/jsterne.htm

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