Results 161 to 170 of about 3,606,574 (279)
Integrative Learning of Structured High-Dimensional Data from Multiple Datasets. [PDF]
Chang C, Dai Z, Oh J, Long Q.
europepmc +1 more source
Knee Crepitus and Osteoarthritis Features in Young Adults Following Traumatic Knee Injury
Objective This study explored the association between knee crepitus and the presence, and worsening, of structural osteoarthritis features and self‐reported outcomes in young adults following traumatic knee injury. Methods One year following anterior cruciate ligament reconstruction (ACLR), 112 participants (41 female participants; median age 28 years ...
Jamon L. Couch +8 more
wiley +1 more source
Penalized landmark supermodels (penLM) for dynamic prediction for time-to-event outcomes in high-dimensional data. [PDF]
Fries AH, Choi E, Han SS.
europepmc +1 more source
HETEROGENEITY ANALYSIS VIA INTEGRATING MULTI-SOURCES HIGH-DIMENSIONAL DATA WITH APPLICATIONS TO CANCER STUDIES. [PDF]
Zhong T, Zhang Q, Huang J, Wu M, Ma S.
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Objective The objectives of this study were to evaluate the correlation and agreement between ultrasonography and computed tomography (CT) in measuring ascending aorta diameter in patients with giant cell arteritis (GCA) and to investigate the development of new ascending aortic aneurysms in patients with newly diagnosed GCA.
Anne C. Bull Haaversen +4 more
wiley +1 more source
Model-Free Statistical Inference on High-Dimensional Data. [PDF]
Guo X, Li R, Zhang Z, Zou C.
europepmc +1 more source
Clustering high-dimensional data via feature selection. [PDF]
Liu T, Lu Y, Zhu B, Zhao H.
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Objective We aimed to validate the Pediatric Arthritis Ultrasound Scoring System (PAUSS) for upper extremity joints in children with juvenile idiopathic arthritis (JIA). Methods Children with JIA were evaluated for elbow, wrist, or finger arthritis by clinical examination (CE) and musculoskeletal ultrasound (MSUS) with images scored according to the ...
Patricia Vega‐Fernandez +12 more
wiley +1 more source
Communication-Efficient Distributed Estimation of Causal Effects With High-Dimensional Data. [PDF]
Wang X, Tong J, Peng S, Chen Y, Ning Y.
europepmc +1 more source

