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...

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Ngā kaituhi matua:	Pedro Cardoso, Timothy J. McDonald, Kashyap A. Patel, Ewan R. Pearson, Andrew T. Hattersley, Beverley M. Shields, Trevelyan J. McKinley
Hōputu:	Artigo
Reo:	Inglês
I whakaputaina:	BMC 2024-06-01
Rangatū:	BMC Medical Research Methodology
Ngā marau:	MODY Bayesian modelling Rare diseases Prior elicitation Recalibration
Urunga tuihono:	https://doi.org/10.1186/s12874-024-02239-w
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!