QR Code

Comparison of Bayesian approaches for developing prediction models in rare disease: application to the identification of patients with Maturity-Onset Diabetes of the Young

Abstract Background Clinical prediction models can help identify high-risk patients and facilitate timely interventions. However, developing such models for rare diseases presents challenges due to the scarcity of affected patients for developing and calibrating models. Methods that pool information...

Full description

Saved in:
Main Authors: Pedro Cardoso, Timothy J. McDonald, Kashyap A. Patel, Ewan R. Pearson, Andrew T. Hattersley, Beverley M. Shields, Trevelyan J. McKinley
Format: Artigo
Language:Inglês
Published: BMC 2024-06-01
Series:BMC Medical Research Methodology
Subjects:
MODY
Bayesian modelling
Rare diseases
Prior elicitation
Recalibration
Online Access:https://doi.org/10.1186/s12874-024-02239-w
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items