[R-meta] Output in rma

Dear Daniel,

Just create frequency tables of your variables:

table(a$indication_cor)
table(a$age_cor)

If studies were removed from the model fitting (because of missing data), then the actual frequencies used in the analyses might be smaller. You could then apply the same subsetting as was done in the analysis with:

table(a$indication_cor[b$not.na])
table(a$age_cor[b$not.na])

Best,
Wolfgang

-----Original Message-----
From: Daniel M?nsted Shabanzadeh [mailto:dmshaban at gmail.com] 
Sent: Friday, 06 March, 2020 9:49
To: r-sig-meta-analysis at r-project.org; Viechtbauer, Wolfgang (SP)
Subject: Output in rma

Dear Wolfgang and network

I am doing a meta-regression in metafor?on transformed proportions with two categorical variables and once again having some problems in?getting the outcome right. Hope?some of you may know your?way through.?
In the print output?I see that 449 entries are included. How do I?obtain number of entries for each level in the variables?in the model? 

Regards,
Daniel?

b<-rma(xi=compl_treat, ni=total, mods = ~indication_cor+age_cor, measure = "PAS", data=a, slab=study)

print(b)

Mixed-Effects Model (k = 449; tau^2 estimator: REML)

tau^2 (estimated amount of residual heterogeneity):     0.0160 (SE = 0.0012)
tau (square root of estimated tau^2 value):             0.1263
I^2 (residual heterogeneity / unaccounted variability): 99.57%
H^2 (unaccounted variability / sampling variability):   231.76
R^2 (amount of heterogeneity accounted for):            8.04%

Test for Residual Heterogeneity:
QE(df = 441) = 42409.0416, p-val < .0001

Test of Moderators (coefficients 2:8):
QM(df = 7) = 43.4202, p-val < .0001

Model Results:

                           estimate      se     zval    pval    ci.lb   ci.ub 
intrcpt                      0.1641  0.0122  13.4372  <.0001   0.1402  0.1880  *** 
indication_cormissing       -0.0142  0.0244  -0.5839  0.5593  -0.0620  0.0335      
indication_cortherapeutic    0.0803  0.0195   4.1207  <.0001   0.0421  0.1185  *** 
age_cor1                     0.0088  0.0166   0.5280  0.5975  -0.0238  0.0414      
age_cor2                     0.0170  0.0262   0.6468  0.5177  -0.0344  0.0683      
age_cor3                     0.0466  0.0193   2.4158  0.0157   0.0088  0.0843    * 
age_cor4                    -0.0408  0.0328  -1.2433  0.2138  -0.1052  0.0235      
age_cormissing              -0.0446  0.0530  -0.8419  0.3998  -0.1484  0.0592      

---
Signif. codes:  0 ?***? 0.001 ?**? 0.01 ?*? 0.05 ?.? 0.1 ? ? 1

Daniel M?nsted Shabanzadeh
MD, PhD
Department of Gastroenterology, Surgical Unit
Hvidovre Hospital
Mobile?+45 2546 5251?