[R-meta] Question regarding non-linear effects in meta-regression

[Jens Schüler]

Hi all,

 

I am currently investigating the possibility of assessing non-linear effects
in a meta-regression.

For example, I am interested in the relationship between risk-taking and
performance, and I want to assess whether the mean score of risk taking has
a non-linear moderating effect on that relationship.

 

I had a look at Wolfgang’s previous examples on adding restricted cubic
splines to mixed effects models via the rms package e.g. 

https://stats.stackexchange.com/questions/279668/meta-regression-using-restr
icted-cubic-splines-with-rma-from-the-metafor-pack?rq=1

https://stat.ethz.ch/pipermail/r-sig-meta-analysis/2018-February/000551.html


 

and looked a bit into Frank Harrell’s book concerning the adequate number
and location of nodes.

 

My question now is, how do I determine/test whether the plotted spline is
actually significant/meaningful?

I am a bit unsure what I should make of the mixed effects model results in
that regard or if I have to perform additional tests.

 

 

Best

Jens


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