See, the thing is, that top study appears to be contributing the ENTIRE association. Every other study found no result at all, but one single study has caused the entire relationship to become statistically significantpic.twitter.com/pcW30Bzkhm
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Just noticed if you exclude that study the I^2 drops from 27% to 0% so I reckon there's definitely a rationale for using the sensitivity analysis as the most robust estimate
The contribution it has to the summary effect is interesting, but not sure if the analysis excluding it is more robust. Heterogeneity variance is a part of life and estimators need to account for it, would've been better to use REML or HKSJ rather than DL given the # of studies
That's fair, it's just a bit of a red flag imo if you've got several studies with much lower prevalence and then one study that's found a base rate of ~20% IBS and contributes quite a bit of heterogeneity to the model as well
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