SPRE Statistics for Exploring Heterogeneity in Meta-Analysis
Description
An implementation of SPRE (standardised predicted random-effects)
statistics in R to explore heterogeneity in genetic association meta-
analyses, as described by Magosi et al. (2019)
. SPRE statistics are precision
weighted residuals that indicate the direction and extent with which
individual study-effects in a meta-analysis deviate from the average
genetic effect. Overly influential positive outliers have the potential
to inflate average genetic effects in a meta-analysis whilst negative
outliers might lower or change the direction of effect. See the 'getspres'
website for documentation and examples
.