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  • mhodds Test of homogeneity of ORs Pr>chi2

    Hello Statalist!

    I am having trouble retrieving the Pr>chi2 for a Test of homogeneity of ORs using mhodds. To clearly explain my situation with completely arbitrary data from online:

    . sysuse nlsw88
    . mhodds never_married collgrad, by(south)


    Maximum likelihood estimate of the odds ratio
    Comparing collgrad==1 vs. collgrad==0
    by south

    -------------------------------------------------------------------------------

    ----south | Odds Ratio---------chi2(1)--------P>chi2---------[95% Conf. Interval]
    ----------+--------------------------------------------------------------------

    --------0-|---2.076923----------15.94---------0.0001---------1.43906----2.99751
    --------1-|---1.483171-----------2.63---------0.1050---------0.91809----2.39607
    -------------------------------------------------------------------------------


    ----Mantel-Haenszel estimate controlling for south
    --------------------------------------------------------------------
    -----Odds Ratio----chi2(1)-------P>chi2---------[95% Conf.-Interval]
    --------------------------------------------------------------------
    -----1.830021-------17.14--------0.0000---------1.368687---2.446853
    --------------------------------------------------------------------

    Test of homogeneity of ORs (approx): chi2(1) = 1.20

    -------------------------------------Pr>chi2 = 0.2738


    I am interested in printing 0.2738 following Pr>chi2 to excel using putexcel.

    However, when I look in the stored results, I cannot for the life of me find 0.2738. I tried the following:

    . return list

    scalars:
    -----------------r(or) = 1.830020550258453
    --------------r(lb_or) = 1.368686911814271
    --------------r(ub_or) = 2.446852662548659
    ---------------r(chi2) = 17.13954403711002
    ------------------r(p) = .0000347316054389
    -------------r(df_hom) = 1
    -----------r(chi2_hom) = 1.197797587679831



    I can't find it. Any help would be greatly appreciated!

    Thanks in advance.

    —Trenton

    Trenton Dailey-Chwalibóg, M.P.H., Ph.D. Fellow
    Research Project Manager, Action Against Hunger, France
    Research Engineer, AgroParisTech/UGent
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