[R-sig-ME] Wald test on heritabilty estimates from MCMCglmm
j.hadfield at ed.ac.uk
Wed Oct 13 12:40:20 CEST 2010
I think the Wald test will lead you to draw incorrect conclusions for
bounded posteriors that are highly skewed. I think a priori that if
the trait is variable then the probability that h2 = 0 is small
(considerably smaller than the p-value everyone is searching for). For
me at least, the important thing is to say something accurate and
precise about the magnitude of h2, and this information is neatly
summarised using HPDinterval. It is common to see h2 estimates that
are "significant" but the CI's are essentially 0.01 to 1. Such
studies tell us little that we did not already know: a proportion lies
between 0 and 1.
On 12 Oct 2010, at 15:22, Ndjido Ardo BAR wrote:
> Hi Folks!
> I would like to performe a Wald test on heritabilities I estimated
> MCMCglmm. Does it make sense to use the variance posterieur of h² to
> Wald statistics (h²/sqrt(Var_post))?
> [[alternative HTML version deleted]]
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