Abstracts tagged "osteoarthritis and statistical methods"

Abstract Number: 1818 • 2014 ACR/ARHP Annual Meeting
Subchondral Bone Mineral Density Improves Prediction of Knee Osteoarthritis Progression Compared with Clinical Factors Alone: Data from the Osteoarthritis Initiative
Michael P. Lavalley¹, Grace H. Lo², Lori Lyn Price³, Jeffrey Driban⁴, Charles Eaton⁵ and Timothy E. McAlindon⁶, ¹Biostatistics, Boston University, Boston, MA, ²VA HSR&D Center for Innovations in Quality, Effectiveness and Safety; Medical Care Line and Research Care Line; Department of Medicine, Michael E. DeBakey VA Medical Center, Baylor College of Medicine, Houston, TX, ³Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA, ⁴Tufts Medical Center, Boston, MA, ⁵Center for Primary Care and Prevention, Memorial Hospital of Rhode Island, Providence, RI, ⁶Division of Rheumatology, Tufts Medical Center, Boston, MA
Background/Purpose A prediction rule for knee osteoarthritis (OA) progression would have great clinical utility in identifying at-risk patients for intervention. Rules using clinically available measurements…

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