In diesem Papier, we conduct a simulation study to evaluate conventional
meta-regression approaches (study-level random, fixed, and mixed effects)
against seven methodology specifications new to meta-regressions that control
joint heterogeneity in location and time (including a new one that we
introduce). We systematically vary heterogeneity levels to assess statistical
power, estimator bias and model robustness for each methodology specification.
This assessment focuses on three aspects: performance under joint heterogeneity
in location and time, the effectiveness of our proposed settings incorporating
location fixed effects and study-level fixed effects with a time trend, as well
as guidelines for model selection. The results show that jointly modeling
heterogeneity when heterogeneity is in both dimensions improves performance
compared to modeling only one type of heterogeneity.

Dieser Artikel untersucht Zeitreisen und deren Auswirkungen.

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