Data for: Redundant meta-analyses are common in genetic epidemiology

Lu‐Chen Weng, Joel Rämö, Sean J. Jurgens, Shaan Khurshid, Mark Chaffin, Amelia Weber Hall, Valerie N. Morrill, Victor Nauffal, Yan V. Sun, Dominik Beer, Simon Lee, Girish N. Nadkarni, ThuyVy Duong, Biqi Wang, Tomasz Czuba, Thomas R. Austin, Zachary T. Yoneda, Daniel J. Friedman, Anne Clayton, Matthew C. Hyman, Renae Judy, Allan C. Skanes, Kate M. Orland, Timothy Treu, Matthew T. Oetjens,

Data for: Redundant meta-analyses are common in genetic epidemiology

Abstract

Discussion(0)

Related publications

Commentary: Meta-analysis of Individual Participants' Data in Genetic Epidemiology

Redundant meta-analyses are common in genetic epidemiology

Editorial: Updated Guidance on Human Genome Epidemiology (HuGE) Reviews and Meta-Analyses of Genetic Associations

The Mass Production of Redundant, Misleading, and Conflicted Systematic Reviews and Meta‐analyses

Common and Rare Variant Contributions to Bradyarrhythmias from Multi-Ancestry Meta-Analyses