Message-ID: <402724495.1522757.1597418817235@mail.yahoo.com>
Date: 2020-08-14T15:26:57Z
From: Safa Aouinti
Subject: [R-meta] Fw: Question about the metafor package
In-Reply-To: <1616626805.3344091.1594831557009@mail.yahoo.com>
Dear all,
I would like to generate a meta-regression using the function rma (package metafor)?with mods option and I have a question about how we can precise in mods the covariates in each group (TRT and control) ??
This is an extract of my data?
|
Study
|
N_TRT
|
N_Control
|
mean_TRT
|
SD_TRT
|
mean_Control
|
SD_Control
|
Age_TRT_mean
|
Age_TRT_SD
|
male_TRT_pc
|
Age_control_mean
|
Age_control_SD
|
male_control_pc
|
|
[Study1, 2008]
|
86
|
55
|
12.72
|
2.56
|
14.5
|
2.04
|
19.2
|
2.6
|
57
|
21.2
|
6.1
|
60
|
|
[Study2, 2013]
|
43
|
86
|
13.4
|
0.6
|
15.3
|
0.3
|
23.5
|
3.8
|
27.9
|
29.2
|
6.7
|
46.5
|
|
[Study3, 2018]
|
12
|
23
|
17.58
|
2.67
|
18.48
|
1.34
|
24.5
|
3.1
|
100
|
27.04
|
2.91
|
100
|
|
[Study4, 2015]
|
675
|
264
|
31.68
|
5.3
|
33.95
|
4.48
|
18.49
|
4.25
|
57.6
|
19.77
|
4.72
|
51.5
|
........
my code is:
dat1 <- escalc(measure="SMD", m1i= mean_TRT, sd1i= SD_TRT, n1i=N_TRT,? ? ? ? ? ? ? ?m2i=mean_Control, sd2i=SD_Control, n2i=N_Control, data=metadata, digits = 2)
res <- metafor::rma(data = dat1,? ? ? ? ? ? ? ? ? ? yi = yi, # effect size? ? ? ? ? ? ? ? ? ? vi = vi,?? ? ? ? ? ? ? ? ? ? method = "DL",mods=~............,? ? ? ? ? ? ? ? ? ? slab = Study)
I would like to precise in the meta-regression (in mods option) the age in the group TRT (Age_TRT), the age in the group control?(Age_control_pc), the percentage of males in the group TRT (male_TRT_pc) and the percentage of males in the group control (male_control_pc). Is-it possible ? or it should be treated differently ?
The purpose of this meta-regression is to compare the mean difference of a medical test between two groups (treatment 'TRT' and control) and see if the age and the gender (male percentage) influence the results.
Thank you in advance for your help !
Best regards.--
Safa Aouinti?Ph.D. in applied Mathematics and Statistics
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