Testing and adjusting for publication bias in meta-analysis 

Thanks for the comment, I’m very happy to hear this 😀

Thanks for the comment, glad this was useful

You can still use the same methods, although some are a bit more poorly suited if you don’t have many studies (e.g., weight selection models)

I just figured it out. Thanks Daniel!

@@jinggao6875 can you please tell us how you did it?

I would also like to know

Yes, a different approach than trim and fill, which should be avoided for assessing and adjusting for publication bias datacolada.org/30

@@dsquintana damn :o thanks! Is it frequent for you to highlight the values given by weightfunction correction in the abstract, for example? In the past I have used TaF, but never gave it too much focus through the paper.

This depends, but I’d be hesitant to treat the bias-corrected values as definitive, as they’re estimates. You *could* say something like, “the summary effect size estimate was statistically significant but a meta-analysis using selection models indicated evidence of publication bias, with a bias-corrected corrected effect estimate that was considerably smaller than the original estimate...”

Got it! Thanks for all the answers. :)

Glad to help!

I encountered the same problem here, not sure how come the weightfunct function cannot proceed after I specify the logRR and variances as arguments.