[R-meta] sd of blups vs tau in RE model
Hi both, I happen to come across a paper, which can answer both of your comments. Eq. 1 and the following Eqs. show the derivation of the equivalence mentioned by my earlier email. Wang C C, Lee W C. A simple method to estimate prediction intervals and predictive distributions: summarizing meta$B!>(Banalyses beyond means and confidence intervals[J]. Research Synthesis Methods, 2019, 10(2): 255-266. Best, Yefeng
From: James Pustejovsky <jepusto at gmail.com>
Sent: Friday, 30 June 2023 13:08
To: Yefeng Yang <yefeng.yang1 at unsw.edu.au>
Cc: R Special Interest Group for Meta-Analysis <r-sig-meta-analysis at r-project.org>
Subject: Re: [R-meta] sd of blups vs tau in RE model
Sent: Friday, 30 June 2023 13:08
To: Yefeng Yang <yefeng.yang1 at unsw.edu.au>
Cc: R Special Interest Group for Meta-Analysis <r-sig-meta-analysis at r-project.org>
Subject: Re: [R-meta] sd of blups vs tau in RE model
Thanks for your clarification. Your explanations are very clear. Actually, the SD of BLUPs and tau will converge when the within-study replicates are getting large. Can you say more about this? Is this claim based on simulations or something? I see the intuition, but it also seems like this property might depend not only on the within-study replicates all being large, but also on their _relative_ sizes.