Comparing summary hazard ratios in meta-analysis
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 --- Questa e-mail ? stata controllata per individuare virus con Avast antivirus. http://www.avast.com
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Michael http://www.dewey.myzen.co.uk