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

[Xin Lu <xinlu2004@gmail.com>]

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

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