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Conduct penalized meta-analysis, see Van Lissa, Van Erp, & Clapper (2023) doi:10.31234/osf.io/6phs5. In meta-analysis, there are often between-study differences. These can be coded as moderator variables, and controlled for using meta-regression. However, if the number of moderators is large relative to the number of studies, such an analysis may be overfit. Penalized meta-regression is useful in these cases, because it shrinks the regression slopes of irrelevant moderators towards zero.
| Citation | pema citation info |
| github.com/cjvanlissa/pema | |
| System requirements | GNU make |
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Maintainer
| Maintainer | Caspar J van Lissa |