[R-meta] A dataset with 0 heterogeneity
Iago Giné Vázquez
|@go@g|ne @end|ng |rom @jd@e@
Thu Jun 29 18:19:25 CEST 2023
Hi,
For the dataset attached*, with or without the missing observation, if I apply the function
rma(yi = beta, sei = SE, data = data, measure = "GEN", method = "REML")
I get the indices tau = tau^2 = I^2 = 0.
How should I interpret this? Why do I get 0 heterogeneity?
Best regards,
Iago
* I paste here the dataset, since I do not know if this list allows for attached files:
beta SE
0.1681631227 0.2607616
-0.0422785338 0.2631096
-0.5568181818 0.6325992
-0.1978872695 0.1912361
NA NA
-0.2061673136 0.2874499
0.0006298509 1.9240914
-0.0229840779 0.1207885
-0.0641509434 0.1894704
-0.2929200899 0.2148528
-0.0384951744 0.1183950
-2.1428571429 1.3014967
0.0354166667 0.1590310
0.2500000000 0.4696238
0.5498902439 0.2916918
-0.0629629630 0.1247360
-0.0633659243 0.1496927
0.1739130435 0.2471777
0.3091393605 0.3120169
-0.6693565070 0.3325967
-0.4372170400 0.4444308
0.5100926412 0.6237145
-0.1729729607 0.1410500
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