[R-meta] Questions about extracting the p-value in subgroup analysis

[Ishtiaq Ahmed]

Dear Nick,

Please use "test.subgroup.random =T" in your code.

update.meta(m.gen, test.subgroup.random =T , subgroup = ins, tau.common = FALSE)


Best regards,


Ishtiaq Ahmed



Ph.D. Researcher



[cid:6b96a5ea-fbdb-456e-a23e-347e05dfffec]  [cid:5b8d82c7-0c01-4cc5-b2b1-780c271cb6fb]









Faculty of Physical Education and Physiotherapy

Department KIMA/KINE

Vrije Universiteit Brussels

Pleinlaan 2 - 1050 Brussel - www.vub.be<https://www.vub.be/>

Pain in Motion International Research Group – www.paininmotion.be<http://www.paininmotion.be/>

[cid:3d3abd65-f199-4f35-8e86-4dccd5c087ff]
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From: R-sig-meta-analysis <r-sig-meta-analysis-bounces using r-project.org> on behalf of 英文科陳品誠 via R-sig-meta-analysis <r-sig-meta-analysis using r-project.org>
Sent: Wednesday, August 23, 2023 3:38 PM
To: r-sig-meta-analysis using r-project.org <r-sig-meta-analysis using r-project.org>
Cc: 英文科陳品誠 <t571 using wlgsh.tp.edu.tw>
Subject: [R-meta] Questions about extracting the p-value in subgroup analysis

Thanks in advance for whoever is going to answer my questions…



I’ve complete a subgroup analysis using this command:

> update.meta(m.gen,+             subgroup = ins,+             tau.common = FALSE)

and the result is as follows:

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



Review:     DGBL



Number of studies: k = 59



                             SMD           95%-CI    t  p-value

Random effects model (HK) 1.3783 [0.9980; 1.7587] 7.25 < 0.0001



Quantifying heterogeneity:

 tau^2 = 1.7452 [1.3574; 3.2543]; tau = 1.3211 [1.1651; 1.8040]

 I^2 = 91.2% [89.4%; 92.7%]; H = 3.37 [3.07; 3.70]



Test of heterogeneity:

      Q d.f.  p-value

 658.12   58 < 0.0001



Results for subgroups (random effects model (HK)):

              k    SMD           95%-CI  tau^2    tau      Q   I^2

ins = GM_BA  47 1.4920 [1.0182; 1.9658] 2.2007 1.4835 595.63 92.3%

ins = GM_EN  12 0.9195 [0.5273; 1.3117] 0.2476 0.4976  48.15 77.2%



Test for subgroup differences (random effects model (HK)):

                  Q d.f. p-value

Between groups 3.76    1  0.0525



Details on meta-analytical method:

- Inverse variance method

- Restricted maximum-likelihood estimator for tau^2

- Q-Profile method for confidence interval of tau^2 and tau

- Hartung-Knapp adjustment for random effects model (df = 58)



Yet, in order to present the outcome of this subgroup analysis, I need the
p-value. And the command on the website only says,” …To extract the
subgroup-specific p-values, it is necessary to save the results of
update.meta to an object, and then extract the pval.random.w element from
that object using the $ operator.”

But what are the commands I should put in order to (1) save the
aforementioned result to an object, and (2) extract the p-value (like where
should I put the $ ?)



Thank you so much for the time for newbies to R!



Best,

Nick Chen
陳品誠 (Nick Chen)
Email: t571 using wlgsh.tp.edu.tw <t5741 using wlgsh.tp.edu.tw>

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