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From |
"Garrard, Wendy M." <wendy.garrard@vanderbilt.edu> |

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

Subject |
st: RE: meta-analysis residual question |

Date |
Fri, 18 Feb 2005 09:48:01 -0600 |

Thanks very much to Roger Harbord who kindly pointed out my "operator error" in using [generate] to produce the predicted values with the regression equation. Since it may be helpful to others new to using Stata and the postestimation regression commands, I will admit to the nature of my fundamental error. When calling the regression coefficients, I should not have used the "minus" sign in my equation, as Stata was already providing negative coefficients where appropriate--I should use all "+" signs in applying the regression equation and let Stata take care of the rest. Regards, wg Regards, wg -----Original Message----- From: owner-statalist@hsphsun2.harvard.edu [mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of Garrard, Wendy M. Sent: Thursday, February 17, 2005 9:55 PM To: statalist@hsphsun2.harvard.edu Subject: st: meta-analysis residual question Could someone help me understand the fitted values that are generated post-estimation using the metareg (updated version)? After a meta-regression I generated the fitted values using (predict yhat). But, I get quite different values when I use the regression equation to obtain the fitted values like so: (gen yhat2 = _b[_cons] + _b[Var1]*Var1 + _b[Var2]*Var2 - _b[Var3]*Var3) For example, for the first record in my data set, the fitted value is .5 using the predict command, and 1.1 obtained via the equation. I assume this difference has something to do with how the weighting is used in the postestimation command, but I'd like to understand how to correctly approximate the fitted values using the equation. Thanks, Wendy Garrard Vanderbilt University * * For searches and help try: * http://www.stata.com/support/faqs/res/findit.html * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/ * * For searches and help try: * http://www.stata.com/support/faqs/res/findit.html * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

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