Non-Gaussian Normative Modelling With Hierarchical Bayesian Regression

Abstract excerpt

Normative modelling is an emerging technique for parsing heterogeneity in clinical cohorts. This can be implemented in practice using hierarchical Bayesian regression, which provides an elegant probabilistic solution to handle site variation in a federated learning framework. However, applications of this method to date have employed a Gaussian assumption, which may be restrictive in some applications. We have ext...

Topics

Open a Topic to create a Post that cites this publication.

• Age Factors
• Atrophy
• Brain
• Cognition
• Executive Function
• Genome-Wide Association Study
• Hippocampus
• Organ Size

Identifiers and source

Literature Corpus work

b411d691-d1f2-590d-89ed-d8fadbbec375

DOI

10.1101/2022.10.05.510988