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From |
Austin Nichols <[email protected]> |

To |
[email protected] |

Subject |
Re: st: Converting standard error to standard deviation from meta-analysis |

Date |
Sun, 27 Sep 2009 09:36:10 -0400 |

You are assuming there is an underlying population SD, right? Which means there is an underlying population mean (proportion) m and the SD is sqrt(m*(1-m)), right? or after the -vwls- command, di sqrt(_b[_cons]*(1-_b[_cons])) see also http://www.stata.com/support/faqs/stat/supweight.html (noting that you have aweights). On Sun, Sep 27, 2009 at 8:02 AM, Frank Peter <[email protected]> wrote: > Dear Statalisters, > > Please, I am trying to convert standard error to standard deviation from meta-analysis of proportion. Taking data from a recent post > http://www.stata.com/statalist/archive/2009-07/msg00097.html > > input study cases total > 1 20 1000 > 2 40 5000 > 3 30 1500 > 4 25 3300 > end > > > Is it valid if I get the SD like this? > > r(seES)*sqrt(1000+5000+1500+3300) > > OR > > r(seES)*sqrt((1000+5000+1500+3300)/4) > > I need the sd to calculate alpha and beta parameter for beta function - ibeta(a,b,x) > * * 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: Converting standard error to standard deviation from meta-analysis***From:*"Frank Peter" <[email protected]>

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