[R-meta] Q-Statistic for Between-Subgroup Heterogeneity

Ty Beal tbe@l @ending from g@inhe@lth@org
Sat Jul 14 00:33:00 CEST 2018

Dear Wolfgang,

Thank you very much. That worked perfectly.


On 7/13/18, 12:31 PM, "Viechtbauer, Wolfgang (SP)" <wolfgang.viechtbauer using maastrichtuniversity.nl> wrote:

    Dear Ty,

    The test for 'between-group' differences/heterogeneity is provided if you include the subgroup variable as a categorial moderator (i.e., as a factor) in the model. For example:


    dat <- get(data(dat.bcg))
    dat <- escalc(measure="RR", ai=tpos, bi=tneg, ci=cpos, di=cneg, data=dat.bcg)

    res <- rma(yi, vi, mods = ~ factor(alloc), data=dat)

    In the output, you will find:

    Test of Moderators (coefficients 2:3):
    QM(df = 2) = 1.7675, p-val = 0.4132

    This is the test for between-subgroup heterogeneity.


    -----Original Message-----
    From: R-sig-meta-analysis [mailto:r-sig-meta-analysis-bounces using r-project.org] On Behalf Of Ty Beal
    Sent: Friday, 13 July, 2018 15:46
    To: r-sig-meta-analysis using r-project.org
    Subject: [R-meta] Q-Statistic for Between-Subgroup Heterogeneity

    I am conducting a meta-analysis of proportions using the metafor package and want to compare heterogeneity between subgroups. I don’t see an option to generate a Q-statistic for between-subgroup heterogeneity. Is there any way to accomplish this with the metafor package?

    I can do this with the meta package using metaprop() and the byvar option—however, it does not let me specify separate weightings as rma() from the metafor package does.


    Ty Beal, PhD
    Technical Specialist
    Knowledge Leadership

    GAIN – Global Alliance for Improved Nutrition
    1509 16th Street NW, 7th Floor | Washington, DC 20036
    tbeal using gainhealth.org<mailto:atumilowicz using gainhealth.org>
    C: +1 (602) 481-5211
    Skype: tyroniousbeal



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