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From |
Roger Harbord <roger.harbord@bristol.ac.uk> |

To |
statalist@hsphsun2.harvard.edu, "Garrard, Wendy M." <wendy.garrard@vanderbilt.edu> |

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

Date |
Fri, 18 Feb 2005 12:09:47 -0000 |

--On 17 February 2005 21:55 -0600 "Garrard, Wendy M." <wendy.garrard@vanderbilt.edu> wrote:

Dear Wendy,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.

There's no reason for the two methods to differ. The weights aren't used when calculating fitted values (other than their effect on the coefficients already estimated). I can't reproduce this problem using my own example datasets. But I'm assuming the minus sign before the Var3 term in your code above is a typo for a plus - if not that could be the source of the problem!

If that's not it could you send me a full log-file using the procedure outlined at

http://www.stata.com/support/faqs/techsup/sendout.html

(please email me alone not Statalist and i'll summarise our finding to the list later)

Thanks,

Roger.

--

Roger Harbord

Department of Social Medicine, University of Bristol

http://www.epi.bris.ac.uk

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**References**:**st: meta-analysis residual question***From:*"Garrard, Wendy M." <wendy.garrard@vanderbilt.edu>

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