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Dear Nick,</div>
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<br>
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Please use "test.subgroup.random =T" in your code.</div>
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<br>
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=T</span> , subgroup = ins, tau.common = FALSE)</span><br>
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<div id="divRplyFwdMsg" dir="ltr"><font face="Calibri, sans-serif" style="font-size:11pt" color="#000000"><b>From:</b> R-sig-meta-analysis <r-sig-meta-analysis-bounces@r-project.org> on behalf of 英文科陳品誠 via R-sig-meta-analysis <r-sig-meta-analysis@r-project.org><br>
<b>Sent:</b> Wednesday, August 23, 2023 3:38 PM<br>
<b>To:</b> r-sig-meta-analysis@r-project.org <r-sig-meta-analysis@r-project.org><br>
<b>Cc:</b> 英文科陳品誠 <t571@wlgsh.tp.edu.tw><br>
<b>Subject:</b> [R-meta] Questions about extracting the p-value in subgroup analysis</font>
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<div class="PlainText">Thanks in advance for whoever is going to answer my questions…<br>
<br>
<br>
<br>
I’ve complete a subgroup analysis using this command:<br>
<br>
> update.meta(m.gen,+ subgroup = ins,+ tau.common = FALSE)<br>
<br>
and the result is as follows:<br>
<br>
-------------------------------------------------------------------------------------------------------------<br>
<br>
<br>
<br>
Review: DGBL<br>
<br>
<br>
<br>
Number of studies: k = 59<br>
<br>
<br>
<br>
SMD 95%-CI t p-value<br>
<br>
Random effects model (HK) 1.3783 [0.9980; 1.7587] 7.25 < 0.0001<br>
<br>
<br>
<br>
Quantifying heterogeneity:<br>
<br>
tau^2 = 1.7452 [1.3574; 3.2543]; tau = 1.3211 [1.1651; 1.8040]<br>
<br>
I^2 = 91.2% [89.4%; 92.7%]; H = 3.37 [3.07; 3.70]<br>
<br>
<br>
<br>
Test of heterogeneity:<br>
<br>
Q d.f. p-value<br>
<br>
658.12 58 < 0.0001<br>
<br>
<br>
<br>
Results for subgroups (random effects model (HK)):<br>
<br>
k SMD 95%-CI tau^2 tau Q I^2<br>
<br>
ins = GM_BA 47 1.4920 [1.0182; 1.9658] 2.2007 1.4835 595.63 92.3%<br>
<br>
ins = GM_EN 12 0.9195 [0.5273; 1.3117] 0.2476 0.4976 48.15 77.2%<br>
<br>
<br>
<br>
Test for subgroup differences (random effects model (HK)):<br>
<br>
Q d.f. p-value<br>
<br>
Between groups 3.76 1 0.0525<br>
<br>
<br>
<br>
Details on meta-analytical method:<br>
<br>
- Inverse variance method<br>
<br>
- Restricted maximum-likelihood estimator for tau^2<br>
<br>
- Q-Profile method for confidence interval of tau^2 and tau<br>
<br>
- Hartung-Knapp adjustment for random effects model (df = 58)<br>
<br>
<br>
<br>
Yet, in order to present the outcome of this subgroup analysis, I need the<br>
p-value. And the command on the website only says,” …To extract the<br>
subgroup-specific p-values, it is necessary to save the results of<br>
update.meta to an object, and then extract the pval.random.w element from<br>
that object using the $ operator.”<br>
<br>
But what are the commands I should put in order to (1) save the<br>
aforementioned result to an object, and (2) extract the p-value (like where<br>
should I put the $ ?)<br>
<br>
<br>
<br>
Thank you so much for the time for newbies to R!<br>
<br>
<br>
<br>
Best,<br>
<br>
Nick Chen<br>
陳品誠 (Nick Chen)<br>
Email: t571@wlgsh.tp.edu.tw <t5741@wlgsh.tp.edu.tw><br>
<br>
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