Results 271 to 280 of about 534,689 (331)

Capillaroscopic patterns are associated with interstitial lung disease, skin fibrosis, anti-Th/To antibodies and quality of life in systemic sclerosis: a prospective cross-sectional study. [PDF]

Front Med (Lausanne)
Trefler J, Pasierb A, Lech L, Czaplicki H, Życińska K.   +4 more
europepmc   +1 more source

Deep learning for the joint analysis of item-level longitudinal and survival data. [PDF]

J Appl Stat
Lin J, Luo S.
europepmc   +1 more source

Statistical analysis of Likert-based ordinal scales: a guide for clinical trialists. [PDF]

BMC Med Res Methodol
Al-Jaishi AA, Cuerden MS, Luo B, Roshanov PS, Garg AX.   +4 more
europepmc   +1 more source

Dual-SwinOrd: A Dual-Head Swin Transformer with Semantic Prior Injection for Ordinal Diabetic Retinopathy Grading. [PDF]

Bioengineering (Basel)
Yu W, Si X, Zhong J.
europepmc   +1 more source

Simultaneous Optimization of Robust Design with Quantitative and Ordinal Data

, 2008
Ful-Chiang Wu
openalex   +1 more source

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Simulating Ordinal Data

Multivariate Behavioral Research, 2012
The increasing use of ordinal variables in different fields has led to the introduction of new statistical methods for their analysis. The performance of these methods needs to be investigated under a number of experimental conditions. Procedures to simulate from ordinal variables are then required.
P.A. Ferrari, A. Barbiero
openaire   +2 more sources

Metric Learning for Ordinal Data

Proceedings of the AAAI Conference on Artificial Intelligence, 2016
A large amount of ordinal-valued data exist in many domains, including medical and health science, social science, economics, political science, etc. Unlike image and speech datasets of real-valued data, learning with ordinal variables (i.e., features) presents unique challenges.
Yuan Shi, Wenzhe Li, Fei Sha
openaire   +1 more source