A consensus score to combine inferences from multiple centres

Experiments in which data are collected by multiple independent resources, including multicentre data, different laboratories within the same centre or with different operators, are challenging in design, data collection and interpretation. Indeed, inconsistent results across the resources are possi...

Full description

Saved in:
Bibliographic Details
Published in:Mammalian genome 2023-09, Vol.34 (3), p.379-388
Main Authors: Haselimashhadi, Hamed, Babalola, Kolawole, Wilson, Robert, Groza, Tudor, Muñoz-Fuentes, Violeta
Format: Article
Language:English
Subjects:
Animal Genetics and Genomics
Animals
Biomedical and Life Sciences
Cell Biology
Consensus
Consortia
Data collection
Data Collection - methods
Delphi method
Expected values
Experiments
Hematology
Human Genetics
Laboratories
Life Sciences
Mice
Phenotyping
Sexual dimorphism
Statistics
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Experiments in which data are collected by multiple independent resources, including multicentre data, different laboratories within the same centre or with different operators, are challenging in design, data collection and interpretation. Indeed, inconsistent results across the resources are possible. In this paper, we propose a statistical solution for the problem of multi-resource consensus inferences when statistical results from different resources show variation in magnitude, directionality, and significance. Our proposed method allows combining the corrected p-values, effect sizes and the total number of centres into a global consensus score. We apply this method to obtain a consensus score for data collected by the International Mouse Phenotyping Consortium (IMPC) across 11 centres. We show the application of this method to detect sexual dimorphism in haematological data and discuss the suitability of the methodology.
ISSN:0938-8990
1432-1777
DOI:10.1007/s00335-023-09993-0