I've used the confint()
function of R package metafor
to calculate heterogeneity in random effects models in a meta-analysis.
I get sensible values for the various parameters (tau
, tau^2
, I^2
) for most of the calculations I have run, however am getting back 0 values for all three parameters for one particular analysis. I have checked the raw data and nothing looks suspiciously different to that used for other calculations.
The confint()
output I get is as follows.
estimate ci.lb ci.ub tau^2 0.0000 0.0000 0.1061 tau 0.0000 0.0000 0.3257 I^2(%) 0.0000 0.0000 60.4187 H^2 1.0000 1.0000 2.5264
Does anyone have any idea about why I might be getting a 0 estimate with 0 as the lower end of the confidence interval?
Any thoughts would be much appreciated.
Best Answer
This is telling you that the data is homogenous but the degree of precision is not reported because it's less than 0.0001. For example your uncertainty intervals around the I-squared are 0% to 60%. For I-squared, it's a percentage and you can't get a negative number (only 0 – 100%) even if it makes it look skewed (as in this case).
Hope this helps.
abousetta
Similar Posts:
- Solved – The confidence interval of $tau^2$ and $I^2$ produced by the meta and metafor packages
- Solved – How to calculate confidence intervals for I-squared in order to assess heterogeneity between two pooled studies
- Solved – Meta-analysis in R using metafor package
- Solved – Meta-analysis in R using metafor package
- Solved – Odds ratio and confidence interval in meta-analysis