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

Crossref DOI link: https://doi.org/10.1186/s12874-024-02239-w

Published Online: 2024-06-04

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Cardoso, Pedro http://orcid.org/0000-0002-1014-9058
McDonald, Timothy J. http://orcid.org/0000-0003-3559-6660
Patel, Kashyap A. http://orcid.org/0000-0002-9240-8104
Pearson, Ewan R. http://orcid.org/0000-0001-9237-8585
Hattersley, Andrew T. http://orcid.org/0000-0001-5620-473X
Shields, Beverley M. http://orcid.org/0000-0003-3785-327X
McKinley, Trevelyan J. http://orcid.org/0000-0002-9485-3236
Funding

Funding for this research was provided by:

Research England

Wellcome Trust (219606/Z/19/Z)

Diabetes UK (21/0006328, 21/0006328)
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Text and Data Mining valid from 2024-06-04

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Article History

Received: 12 January 2024

Accepted: 6 May 2024

First Online: 4 June 2024

Declarations

:

: For the UNITED study, ethics approval was granted by the NRES Committee South West–Central Bristol (REC no. 10/H0106/03). For the case-control data, this study was approved by the Genetic Beta Cell Research Bank, Exeter, UK (ethical approval was provided by the North Wales Research Ethics Committee, UK (IRAS project ID 231760)) and the Peninsula Research Bank (Devon & Torbay Research Ethics Committee, ref: 2002/7/118).

: Not applicable.

: The authors declare no competing interests.

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