On 21/11/2014 08:51, Mario Petretta wrote:
Dear all,

I use R 3.1.1 for Windows.

I performed two different meta-analysis assessing the prognostic value of
two different tests in patients with coronary artery disease. The study
included in the two analysis are different.

That makes life simpler.


The variable of interest in dichotomous (normal/abnormal result) for both
tests.

The effects size is hazard ratio and its standard error (ln units) for both
meta-analysis.

It sounds as though you might want to use meta-regression. You will need a single data frame containing at least log hr, se of log hr, an identifier for the test. I would use the metafor package for this, look in the documentation for how to incorporate a moderator (your test variable). The advantage of meta-regression is that you not only get a test but also a measure of how different the hr are with a confidence interval.


I would like to statistically compare the two summary hazard ratios and 95%
CI (eform) obtained from the two meta-analysis.

For one meta-analysis: HR 3.12 (95% CI 2.2 - 4.1)
For the other: HR 1.25 (95% CI 1.03 - 2.6)

It is possible or I'm comparing apples with oranges?

Any suggestion is welcome.

-------------------------------------------------------
Mario Petretta
Associate Professor of Internal Medicine
Department of Translational Medical Sciences Naples
University Federico II Italy










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--
Michael
http://www.dewey.myzen.co.uk

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