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From | Nick Darson <nick.darson@googlemail.com> |
To | statalist@hsphsun2.harvard.edu |
Subject | st: providing raw weights for multivariate meta-analysis |
Date | Sun, 10 Jul 2011 22:02:05 +1000 |
Dear Statalisters, I attempt to carry out a multivariate meta-analysis using "xtmixed". I have three outcome measures (the first level). When using a multilevel approach for the multivariate meta-analysis, I read that it is important to provide raw-weights (non-normalized) of the inverse sampling variances for the first level (containing the outcome measures). I know that HLM6 has a special function for this ("V-known") for two and three level models. Now, I wanted to know whether "pweights" is an equivalent solution for xtmixed in Stata? I must admit that I am a bit confused by the various descriptions of the weight functions I found online (aweights, iweights, etc - though this are not allowed for xtmixed) . Moreover, surprisingly, I read in Hox (2010,p. 230) that public domain software for multilevel analysis does not support the required options for a multivariate model so far (i.e. providing raw weights and being able to constrain the lowest-level variance to 1 - however, both should be feasible). Thanks a lot for your support. Nick Darson * * 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/