Results 91 to 100 of about 179,170 (301)
Objective The concern that nonsteroidal anti‐inflammatory drugs (NSAIDs) may precipitate flares of inflammatory bowel disease (IBD) has limited their use in managing musculoskeletal symptoms in those with IBD, but safety data are mixed. Methods This retrospective cohort study included patients with IBD aged at least 18 years from Optum's deidentified ...
Adam S. Mayer +4 more
wiley +1 more source
Objective Orofacial manifestations are significantly impactful in patients with systemic sclerosis (SSc), yet remain understudied, with no dedicated clinical guidelines to inform their management. Methods An international online survey comprising 38 questions addressing orofacial manifestations of SSc, including patients’ confidence in their treating ...
Eleni Deligianni +4 more
wiley +1 more source
Clustering Ordinal Data via Latent Variable Models
IFCS 2011 Symposium of the International Federation of Classification Societies (IFCS), August 30, 2011, FrankfurtItem response modelling is a well established method for analysing ordinal response data.
Isobel Claire Gormley +3 more
core +1 more source
All‐Optical Reconfigurable Physical Unclonable Function for Sustainable Security
An all‐optical reconfigurable physical unclonable function (PUF) is demonstrated using plasmonic coupling–induced sintering of optically trapped gold nanoparticles, where Brownian motion serves as a robust entropy source. The resulting optical PUF exhibits high encoding density, strong resistance to modeling attacks, and practical authentication ...
Jang‐Kyun Kwak +4 more
wiley +1 more source
Surrogate Data Preserving All the Properties of Ordinal Patterns up to a Certain Length
We propose a method for generating surrogate data that preserves all the properties of ordinal patterns up to a certain length, such as the numbers of allowed/forbidden ordinal patterns and transition likelihoods from ordinal patterns into others.
Yoshito Hirata +2 more
doaj +1 more source
Classification of Ordinal Data
Classification of ordinal data is one of the most important tasks of relation learning. In this thesis a novel framework for ordered classes is proposed. The technique reduces the problem of classifying ordered classes to the standard two-class problem. The introduced method is then mapped into support vector machines and neural networks. Compared with
openaire +2 more sources
Rank regression for analyzing ordinal qualitative data for treatment comparison
Ordinal qualitative data are often collected for phenotypical measurements in plant pathology and other biological sciences. Statistical methods, such as t tests or analysis of variance, are usually used to analyze ordinal data when comparing two groups ...
Wang, Y. -G. +3 more
core +1 more source
A patient‐specific, imaging‐guided aid enables precise and reproducible drug delivery to the inner ear. By guiding therapeutic agents directly to the round window niche, this approach reduces variability in drug localization, improves delivery safety, and addresses a critical bottleneck in inner ear therapy, offering a scalable strategy for precision ...
Yanjing Luo +4 more
wiley +1 more source
Penerapan Metode Suksesif Interval pada Analsis Regresi Linier Berganda
Dalam menggunakan model regresi linier disyaratkan data yang digunakan hendaknya berskala interval atau rasio. Akan tetapi jika skala dalam bentuk ordinal tetap dipaksakan menggunakan model regresi linier, maka akan diperoleh koefisien korelasi yang ...
Setia Ningsih, Hendra H. Dukalang
doaj +1 more source
An Overview of Methods in the Analysis of Dependent ordered catagorical Data: Assumptions and Implications [PDF]
Subjective assessments of pain, quality of life, ability etc. measured by rating scales and questionnaires are common in clinical research. The resulting responses are categorical with an ordered structure and the statistical methods must take account of
Högberg, Hans, Svensson, Elisabeth
core

