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Jul 12, 2019 at 10:35 comment added Josee Luis Also, I have one last question, if the mix effects model moderator test shows that the p-value is bigger than 0.05, does it still make sense to use this model?
Jul 12, 2019 at 10:33 comment added Josee Luis Thank you very much!
Jul 12, 2019 at 9:53 comment added user2974951 @M.L Any introductory textbook on linear models will do. utstat.toronto.edu/~brunner/books/LinearModelsWithR.pdf
Jul 12, 2019 at 8:53 comment added Josee Luis Thanks a lot! Would you please recommend some articles for this topic? I am new to meta-regression and would like to learn more about this.
Jul 12, 2019 at 8:42 comment added user2974951 @M.L Yes, it is the comparison of younger vs. older kids, and it is telling you that the younger kids are different from the older kids. The intercept does not represent all levels.
Jul 12, 2019 at 8:39 comment added Josee Luis Thanks! So the p-value for younger kids here is not the p-value across studies; instead, it is the comparison with the intrcpt group, is it correct?
Jul 12, 2019 at 8:34 vote accept Josee Luis
Jul 12, 2019 at 8:15 comment added user2974951 @M.L Yes, the older kids estimate is significantly different from zero, while the younger kids are significantly different from the older kids.
Jul 12, 2019 at 8:14 comment added Josee Luis Thank you! So does it mean that both groups are statistically significant?
Jul 12, 2019 at 8:02 comment added user2974951 @M.L The p-values do not need to be added, they are in the right place already, so the p-value for the older kids is <.0001 while for the younger it is 0.0136.
Jul 12, 2019 at 8:00 comment added Josee Luis Thank you! How about the p-value in the older kids group? Where can I find this information?
Jul 11, 2019 at 12:22 history answered user2974951 CC BY-SA 4.0