Risk prediction model for knee pain in the Nottingham Community: a Bayesian modeling approachTools Fernandes, Gwen Sascha, Bhattacharya, Archan, McWilliams, Daniel F., Ingham, Sarah Louise, Doherty, Michael and Zhang, Weiya (2017) Risk prediction model for knee pain in the Nottingham Community: a Bayesian modeling approach. Arthritis Research and Therapy, 19 . p. 59. ISSN 1478-6354 (Unpublished)
AbstractBackground: 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 the first risk prediction model for incident knee pain in the Nottingham community and validate this internally within the Nottingham cohort and externally within the Osteoarthritis Initiaitve (OAI) Cohort.
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