[R-sig-ME] Confidence interval around random effect variances in place of p-value
bbo|ker @end|ng |rom gm@||@com
Sat Apr 3 01:19:02 CEST 2021
This seems like a potential can of worms (as indeed are all
hypothesis tests of null values on a boundary ...) However, in this case
bootstrapping (provided you have resampled appropriately - you may need
to do hierarchical bootstrapping ...) seems reasonable, because a null
model would give you singular fits (i.e. estimated sd=0) half of the
Happy to hear more informed opinions.
On 4/2/21 6:55 PM, Jack Solomon wrote:
> Dear All,
> A colleague of mine suggested that I use the bootstrapped CIs around my
> model's random effect variances in place of p-values for them.
> But random effect variances (or sds) start from "0". So, to declare a
> statistically NON-significant random effect variance component, the
> lower bound of the CI must be EXACTLY "0", right?
> Thank you very much,
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