[R-meta] predict error in metafor

[Viechtbauer, Wolfgang (NP)]

The F-test replaces the Qw statistic when using test="knha" (it tests the same thing, but now based on the K&H method).

Best,
Wolfgang

>-----Original Message-----
>From: Fatih Çelik [mailto:fatihcelik2842 using gmail.com]
>Sent: Monday, 20 March, 2023 12:23
>To: Viechtbauer, Wolfgang (NP); R Special Interest Group for Meta-Analysis
>Subject: Ynt: predict error in metafor
>
> Hello, sir.
>
>As you pointed out, when I run the Knapp-Hartung test, Qw (statistic
>for testing the model misspecification) does not appear in the output.
>How can I access this value? Below I first present to you the model I
>created and then the output.
>
>Model:
>
>res1 <- rma(measure="ARAW", ai=ai, mi=mi, ni=ni, mods = ~ sample,
>test="knha", data=dat)
>
> outputs:
>
> Mixed-Effects Model (k = 85; tau^2 estimator: REML)
>
>tau^2 (estimated amount of residual heterogeneity):     0.0021 (SE = 0.0004)
>tau (square root of estimated tau^2 value):             0.0457
>I^2 (residual heterogeneity / unaccounted variability): 94.01%
>H^2 (unaccounted variability / sampling variability):   16.70
>R^2 (amount of heterogeneity accounted for):            0.00%
>
>Test for Residual Heterogeneity:
>QE(df = 83) = 2139.6714, p-val < .0001
>
>Test of Moderators (coefficient 2):
>F(df1 = 1, df2 = 83) = 0.9652, p-val = 0.3287
>
>Model Results:
>
>               estimate      se     tval  df    pval    ci.lb   ci.ub
>intrcpt          0.8286  0.0102  81.0985  83  <.0001   0.8083  0.8489  ***
>samplestudent   -0.0117  0.0119  -0.9825  83  0.3287  -0.0354  0.0120
>
>---
>Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
>
>---
>
>Yours sincerely…
>
>Kimden: Viechtbauer, Wolfgang (NP)
>Gönderilme: 18 Mart 2023 Cumartesi 15:57
>Kime: Fatih ÇELİK; R Special Interest Group for Meta-Analysis
>Konu: RE: predict error in metafor
>
>When fitting the model, use rma(..., test="knha").
>
>P.S.: Please post in plain text, as explained here:
>
>https://stat.ethz.ch/mailman/listinfo/r-sig-meta-analysis
>
>Best,
>Wolfgang