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From | Xin Lu <xinlu2004@gmail.com> |
To | statalist@hsphsun2.harvard.edu |
Subject | st: test for homogeneous odds ratios in D+L random effects model |
Date | Wed, 29 Sep 2010 11:33:55 -0500 |
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 * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/