Results 141 to 150 of about 1,077,907 (260)

Visualizing high-dimensional data [PDF]

Nature Methods, 2013
openaire   +1 more source

Hip Morphology–Based Osteoarthritis Risk Prediction Models: Development and External Validation Using Individual Participant Data From the World COACH Consortium

Arthritis Care &Research, EarlyView.
Objective This study aims to develop hip morphology‐based radiographic hip osteoarthritis (RHOA) risk prediction models and investigates the added predictive value of hip morphology measurements and the generalizability to different populations. Methods We combined data from nine prospective cohort studies participating in the Worldwide Collaboration ...
Myrthe A. van den Berg, Fleur Boel, Michiel M. A. van Buuren, Noortje S. Riedstra, Jinchi Tang, Harbeer Ahedi, Nigel K. Arden, Sita M. A. Bierma‐Zeinstra, Cindy G. Boer, Flavia M. Cicuttini, Timothy F. Cootes, David T. Felson, Willem Paul Gielis, Joshua Heerey, Graeme Jones, Stefan Kluzek, Nancy E. Lane, Claudia Lindner, Joyce B. J. van Meurs, Andrea Mosler, Amanda E. Nelson, Michael C. Nevitt, Edwin H. Oei, Jos Runhaar, Harrie Weinans, Jesse H. Krijthe, Rintje Agricola   +26 more
wiley   +1 more source

Finite mixtures of functional graphical models: Uncovering heterogeneous dependencies in high-dimensional data. [PDF]

PLoS One
Liu Q, Lee KH, Kang HB.
europepmc   +1 more source

Integrative Learning of Structured High-Dimensional Data from Multiple Datasets. [PDF]

Stat Anal Data Min, 2023
Chang C, Dai Z, Oh J, Long Q.
europepmc   +1 more source

Knee Crepitus and Osteoarthritis Features in Young Adults Following Traumatic Knee Injury

Arthritis Care &Research, EarlyView.
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, Brooke E. Patterson, Kay M. Crossley, Ali Guermazi, Matthew G. King, Danilo De Oliveira Silva, Jackie L. Whittaker, Michael A. Girdwood, Adam G. Culvenor   +8 more
wiley   +1 more source

Penalized landmark supermodels (penLM) for dynamic prediction for time-to-event outcomes in high-dimensional data. [PDF]

BMC Med Res Methodol
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]

Stat Sin, 2023
Zhong T, Zhang Q, Huang J, Wu M, Ma S.
europepmc   +1 more source

Ultrasonography Compared With Computed Tomography in Identifying Thoracic Aortic Aneurysms in Patients With Giant Cell Arteritis

Arthritis Care &Research, EarlyView.
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, Lene K. Brekke, Tanaz A. Kermani, Øyvind Molberg, Andreas P. Diamantopoulos   +4 more
wiley   +1 more source

Model-Free Statistical Inference on High-Dimensional Data. [PDF]

J Am Stat Assoc
Guo X, Li R, Zhang Z, Zou C.
europepmc   +1 more source

Clustering high-dimensional data via feature selection. [PDF]

Biometrics, 2023
Liu T, Lu Y, Zhu B, Zhao H.
europepmc   +1 more source