Modeling longitudinal osteoarthritis data to identify homogeneous subgroups: opportunities and challenges in a burgeoning literature
Author:
Publisher
Elsevier BV
Subject
Orthopedics and Sports Medicine,Biomedical Engineering,Rheumatology
Reference10 articles.
1. Latent variable analysis: growth mixture modeling and related techniques for longitudinal data;Muthen,2004
2. Identifying different osteoarthritis phenotypes through epidemiology;Felson;Osteoarthritis Cartilage,2010
3. Osteoarthritis research priorities: a report from a EULAR ad hoc expert committee;Conaghan;Ann Rheum Dis,2014
4. Trajectories and risk profiles of pain in persons with radiographic, symptomatic knee osteoarthritis: data from the osteoarthritis initiative;Collins;Osteoarthritis Cartilage,2014
5. Course of functional status and pain in osteoarthritis of the hip or knee: a systematic review of the literature;van Dijk;Arthritis Rheum,2006
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1. Letter to the editor commenting on “Prognostic factors of knee pain and function 12 months after total knee arthroplasty: A prospective cohort study of 798 patients”;The Knee;2023-10
2. Expanding and explaining symptoms in knee osteoarthritis trajectories: fluctuations, flares, and future directions;Osteoarthritis and Cartilage;2023-06
3. Reply;Arthritis Care & Research;2021-12
4. Histoire naturelle de l’arthrose des membres inférieurs. Que nous a appris la cohorte KHOALA ?;Revue du Rhumatisme Monographies;2021-04
5. What Have We Learned From Trajectory Analysis of Clinical Outcomes in Knee and Hip Osteoarthritis Before Surgery?;Arthritis Care & Research;2020-11-07
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