Risk prediction model for knee pain in the Nottingham Community: a Bayesian modeling approach

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Risk prediction model for knee pain in the Nottingham Community: a Bayesian modeling approach

Background: 25% of the British population over the age of 50 experience knee pain. It can limit physical ability, cause distress and bears significant socioeconomic costs. Knee pain, not knee osteoarthritis (KOA) is the all to common malady. The objectives of this study were to develop and validate...

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Bibliographic Details
Main Authors:	Fernandes, Gwen Sascha, Bhattacharya, Archan, McWilliams, Daniel F., Ingham, Sarah Louise, Doherty, Michael, Zhang, Weiya
Format:	Article
Published:	BioMed Central 2017
Subjects:	Knee pain ; Bayesian statistics ; Prediction modelling ; Musculoskeletal epidemiology
Online Access:	https://eprints.nottingham.ac.uk/41186/

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