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From | Spyros Papageorgiou <snpapage@gmail.com> |
To | statalist@hsphsun2.harvard.edu |
Subject | st: Meta-epidemiological analysis (RORs) |
Date | Tue, 6 Aug 2013 10:43:50 +0200 |
Dear All, I would appreciate any comment on the following: I want to calculate ratios of odds ratios (ROR) for my meta-analyses cohort with random-effects meta-regression as proposed by Sterne et al (2002) in Statist Med. I am using Stata 10.0 for Windows. I think I ‘ve worked it out relative good with the metareg command (with K-H modification) and tried to compare the output by the results of manually calculating fixed the RORs, but I am not 100% sure. I am having two kinds of binary only data (some meta-analyses give the first, some the second): (i) raw 2x2 data and (ii) calculated ORs. (i) For the raw data I use: metan exn exsample ctn ctsample, or log random by(design) nograph metareg _ES design, wsse(_seES) with „exn, exsample, ctn, ctsample“ being the events and sample fort he two groups, „design“ being the trial characteristic I assess and _ES, _seES being the automatic Stata inputs for effect size and standard error (ii) For the calculated ORs I use: metareg logor design, wsse(selogor) with the log odds ratios and their standard errors respectively. I then get the logRORs and their selogROR that are given in the metareg output from all meta-analyses and pool them using. metan logror selogror,random eform rfdist to get the pooled RORs with their 95% CIs and 95% PIs in the forest plot. Do you think this approach is ok? Thanks in advance Spyros snpapage@gmail.com * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/faqs/resources/statalist-faq/ * http://www.ats.ucla.edu/stat/stata/