Meta‐analyses of partial correlations are biased: Detection and solutions
Sign Up to like & getrecommendations! Published in 2024 at "Research Synthesis Methods"
DOI: 10.1002/jrsm.1704
Abstract: We demonstrate that all meta‐analyses of partial correlations are biased, and yet hundreds of meta‐analyses of partial correlation coefficients (PCCs) are conducted each year widely across economics, business, education, psychology, and medical research. To address… read more here.
Keywords: partial correlations; meta analysis; meta analyses; biased detection ... See more keywords
GeneNetTools: tests for Gaussian graphical models with shrinkage
Sign Up to like & getrecommendations! Published in 2022 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btac657
Abstract: Abstract Motivation Gaussian graphical models (GGMs) are network representations of random variables (as nodes) and their partial correlations (as edges). GGMs overcome the challenges of high-dimensional data analysis by using shrinkage methodologies. Therefore, they have… read more here.
Keywords: gaussian graphical; tests gaussian; genenettools tests; partial correlations ... See more keywords
Resting-State Functional MRI of Healthy Adults: Temporal Dynamic Brain Coactivation Patterns.
Sign Up to like & getrecommendations! Published in 2022 at "Radiology"
DOI: 10.1148/radiol.211762
Abstract: Background The aging brain is typically associated with aberrant interactions of large-scale intrinsic networks. However, the dynamic variation of these networks' coactivation or deactivation across the adult lifespan remains unclear. Purpose To promote the interpretation… read more here.
Keywords: coactivation; partial correlations; coactivation patterns; resting state ... See more keywords