[R-meta] Q-Statistic for Between-Subgroup Heterogeneity
tbe@l @ending from g@inhe@lth@org
Sat Jul 14 00:33:00 CEST 2018
Thank you very much. That worked perfectly.
On 7/13/18, 12:31 PM, "Viechtbauer, Wolfgang (SP)" <wolfgang.viechtbauer using maastrichtuniversity.nl> wrote:
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.
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
GAIN – Global Alliance for Improved Nutrition
1509 16th Street NW, 7th Floor | Washington, DC 20036
tbeal using gainhealth.org<mailto:atumilowicz using gainhealth.org>
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