[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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