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From |
"b. water" <barleywater@hotmail.com> |

To |
<statalist@hsphsun2.harvard.edu> |

Subject |
RE: st: Proportion Meta-Analysis |

Date |
Mon, 5 Oct 2009 20:52:20 +0000 |

hi paul, nicola orsini (from karolinska institute) provided me with this back in 2005 (i used (and still do) stata 8.2, but should not make a difference if you are using stata 10). once you get the hang of it, you can adapt it to problem at hand: // suppose you have 4 studies clear input study cases total 1 20 1000 2 40 5000 3 30 1500 4 25 3300 end gen p = . gen se = . // get proportions and std errors forv i =1(1)4 { cii total[`i'] cases[`i'] qui replace p = r(mean) in `i' qui replace se = r(se) in `i' } // get the inverse variance-weighted proportion // use the official Stata -vwls- command gen cons =1 vwls p cons, sd(se) // use the user written -metan- command // for fixed-effects meta-analysis metan p se, nograph fixed // for random-effects meta-analysis metan p se, nograph random hth, bw ---------------------------------------- > Date: Fri, 2 Oct 2009 16:37:33 -0400 > From: preiter@email.unc.edu > To: statalist@hsphsun2.harvard.edu > Subject: st: Proportion Meta-Analysis > > I am working on a meta-analysis where the outcome of interest is the > percentage of couples who share the same trait. So, for each included > study, I have the number of concordant couples (both have the trait) > and am dividing it by the total number of couples. Is there anyway > that Stata can do this type of proportion meta-analysis and produce an > accompanying forest plot? I know Stata is capable of meta-analyses > where odds ratios, etc. are used but couldn't find anything about this > type. Thanks. > > Paul Reiter > * > * 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/ _________________________________________________________________ Hotmail: Trusted email with powerful SPAM protection. http://clk.atdmt.com/GBL/go/177141665/direct/01/ * * 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/

**References**:**st: Proportion Meta-Analysis***From:*Paul Reiter <preiter@email.unc.edu>

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