Results 141 to 150 of about 474,403 (297)

Estimation of dynamic linear models in short panels with ordinal observation [PDF]

We develop a simulated ML method for short-panel estimation of one or more dynamic linear equations, where the dependent variables are only partially observed through ordinal scales.
Stephen Pudney
core  

Pelvic morphology and body size in relation to the preauricular sulcus: Evidence from medieval to modern Iberia

The Anatomical Record, EarlyView.
Abstract The preauricular sulcus has long been debated as a pelvic feature variably attributed to obstetric stress, ligamentous traction, and broader biomechanical processes. To clarify its determinants, we analyzed 409 adult individuals from three archeological and one early modern skeletal collection from the Iberian Peninsula, integrating graded ...
Rebeca García‐González, Julia Muñoz‐Guarinos, Nico Cirotto, Sonia Díaz‐Navarro, Laura Rodríguez, José Miguel Carretero   +5 more
wiley   +1 more source

PENERAPAN REGRESI LOGISTIK ORDINAL UNTUK MENGANALISIS TINGKAT KEPARAHAN KORBAN KECELAKAAN LALU LINTAS KABUPATEN BULELENG

E-Jurnal Matematika, 2015
Ordinal logistic regression is a statistical method for analyzing the respone variables that have an ordinal scale consisting of three or more categories. This method is an extension of logistic regression with a binary respone variable.
DEWA AYU MADE DWI YANTI PURNAMI, I KOMANG GDE SUKARSA, G. K. GANDHIADI   +2 more
doaj  

An ordinal clinical score predicts seizure freedom after minimally invasive epilepsy surgery

Annals of Clinical and Translational Neurology
Objective To predict one‐year seizure freedom, using a combination of relevant clinical variables, following stereotactic laser amygdalohippocampotomy for mesial temporal lobe epilepsy in a series of 101 patients.
Adam S. Dickey, Katie L. Bullinger, Dayton Grogan, Melissa M. Asmar, Abdulrahman Alwaki, Ammar Kheder, Veeresh Kumar N. Shivamurthy, Razan R. Faraj, Alexander Greven, Jon T. Willie, Daniel L. Drane, Robert E. Gross   +11 more
doaj   +1 more source

Coherence‐Gated Wrapped‐Phase InSAR With Matrix‐Based Uncertainty Diagnostics for Burial‐Mound Hotspot Ranking (Sicily, Italy)

Archaeological Prospection, EarlyView.
ABSTRACT Burial mounds are key elements of Mediterranean funerary landscapes, but in intensively cultivated coastal plains their low‐relief expression is easily obscured by ploughing, levelling and rapidly changing surface conditions, making single‐date observations unreliable.
Salvatore Polverino, Hourakhsh Ahmadnia, Rokhsaneh Rahbarianyazd Ahmadnia   +2 more
wiley   +1 more source

Lung Ultrasound for the Detection of Radiologic Progression of Interstitial Lung Abnormalities in Patients With Rheumatoid Arthritis

Arthritis &Rheumatology, EarlyView.
Objective Interstitial lung disease (ILD) is an important extra‐articular manifestation of rheumatoid arthritis (RA) associated with high mortality and morbidity. Lung ultrasonography (LUS) has recently emerged as a possible screening tool. We assessed the role of LUS in monitoring radiologic progression and the development of new interstitial lung ...
Marie Vermant, Valerie Van Ballaer, Joseph Jacob, Tine Follet, Ryoko Egashira, Kenny Anseele, Heleen Cypers, Laurens J. De Sadeleer, Nico De Crem, Tinne Goos, Barbara Neerinckx, Veerle Taelman, Nathalie Veyt, Alexandros Kalkanis, Patrick Verschueren, Wim A. Wuyts   +15 more
wiley   +1 more source

autoscoRA: Deep Learning to Automate Sharp/van der Heijde Scoring of Radiographic Damage in Rheumatoid Arthritis

Arthritis &Rheumatology, Accepted Article.
Objective Regular imaging by conventional radiography to assess for joint damage is a cornerstone in the management of rheumatoid arthritis (RA). Scoring systems to quantify such damage, such as the widely used Sharp/van der Heijde (SvdH) score, are limited by the requirement of time and experienced staff as well as intra‐ and inter‐rater variability ...
Thomas Deimel, Paul J. Weiser, Martin Urschler, Christian Payer, Peter Mandl, Georg Langs, Daniel Aletaha   +6 more
wiley   +1 more source

‘SOMS BrainSpace’: A digital serious game for undergraduate neuroscience

Anatomical Sciences Education, EarlyView.
Abstract Neuroanatomy is challenging for many undergraduates, requiring strong visuospatial skills and a deep understanding of complex concepts. This study developed and evaluated SOMS BrainSpace, a digital serious game for neuroanatomy education, using a mixed methods approach.
Anthony Tran, Jin Y. Huang, Craig R. Campbell, Elizabeth M. Hegedus   +3 more
wiley   +1 more source

Moving beyond neurophobia to cultivate the neuroquisitive learner

Anatomical Sciences Education, EarlyView.
Abstract “Neurophobia,” a pervasive fear of the neurological sciences, poses a significant barrier in medical education, affecting learners and physicians worldwide. Its consequences are far‐reaching, contributing to a limited neurology workforce and diminished confidence among non‐specialists in managing neurological conditions.
Joanna R. Appel, Kirsten A. Porter‐Stransky   +1 more
wiley   +1 more source

Augmented reality for teaching undergraduate human anatomy: An educators' perspective

Anatomical Sciences Education, EarlyView.
Abstract The purpose of this study was to explore the perspectives of Australian educators on using augmented reality (AR) as a method for learning human anatomy in the undergraduate health sciences. This will determine the current value of AR and guide future research and development. This prospective qualitative study used a mixed‐methods approach to
Ally Williams, Zhonghua Sun, Mauro Vaccarezza   +2 more
wiley   +1 more source