EconPapers    
Economics at your fingertips  
 

Phylogenetic multilevel meta-analysis: A simulation study on the importance of modeling the phylogeny

Ozan Cinar, Shinichi Nakagawa and Wolfgang Viechtbauer
Additional contact information
Shinichi Nakagawa: University of New South Wales
Wolfgang Viechtbauer: Maastricht University

No su4zv, EcoEvoRxiv from Center for Open Science

Abstract: Meta-analyses in ecology and evolution typically include multiple estimates from the same study and based on multiple species. The resulting dependencies in the data can be addressed by using a phylogenetic multilevel meta-analysis model. However, the complexity of the model poses challenges for accurately estimating model parameter. We therefore carried out a simulation study to investigate the performance of models with different degrees of complexities. While the overall mean was estimated with little to no bias irrespective of the model, only the model that accounted for the multilevel structure and that incorporates both a non-phylogenetic and a phylogenetic variance component provided confidence intervals with approximately nominal coverage rates. We therefore suggest that meta-analysts in ecology and evolution use the phylogenetic multilevel meta-analysis model as the de facto standard when analyzing multi-species datasets.

Date: 2020-11-23
New Economics Papers: this item is included in nep-env
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://osf.io/download/5fbb800577aa6504d09496b3/

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:osf:ecoevo:su4zv

DOI: 10.31219/osf.io/su4zv

Access Statistics for this paper

More papers in EcoEvoRxiv from Center for Open Science
Bibliographic data for series maintained by OSF ().

 
Page updated 2025-03-19
Handle: RePEc:osf:ecoevo:su4zv