[R-meta] Sample size and continuity correction

Dear all,

just a brief remark -- I think the issue of overlapping / non-
overlapping CIs is closely related to issues of discussing I-squared
values, because you are essentially relating CI widths to differences
between estimates.  The cases of great overlap should be those where
also I^2 is small, and vice versa.  The conclusions you can possibly
draw from looking at mere overlaps should hence have the same
limitations as considerations of I^2 values.  See e.g. the discussions
by Ruecker et al. (2008; https://doi.org/10.1186/1471-2288-8-79) and
Borenstein et al (2017; https://doi.org/10.1002/jrsm.1230).

Cheers,

Christian

Dear Gerta,

In relation to the Cis overlapping. I have a diagnostic test accuracy
meta-analysis with the primary studies using small sample sizes.
Therefore the confidence intervals for sensitivity and specificity
are wide and all 10 studies overlap.   This within study variability
seems to mask any between study heterogeneity.  Is it possible that a
lack of precision in primary studies can make it look like the meta-
analysis has low heterogeneity?

James Meyer DVM MSc

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