Results 71 to 80 of about 259,894 (334)
Semi-parametric analysis of multi-rater data [PDF]
, 2009 Datasets that are subjectively labeled by a number of experts are becoming more common in tasks such as biological text annotation where class definitions are necessarily somewhat subjective.
Girolami, M., Polajnar, T., Rogers, S.
core +1 more source
Evaluation Measures for Ordinal Regression
2009 Ninth International Conference on Intelligent Systems Design and Applications, 2009 Ordinal regression (OR -- also known as ordinal classification) has received increasing attention in recent times, due to its importance in IR applications such as learning to rank and product review rating. However, research has not paid attention to the fact that typical applications of OR often involve datasets that are highly imbalanced.
Baccianella S, Esuli A, Sebastiani F
openaire +3 more sources
Some Properties of a Recently Introduced Approach to Ordinal Regression
Austrian Journal of Statistics, 2016 The statistical properties of a novel approach to ordinal regression which was only recently introduced in the literature are discussed. It is shown that for ordinal explanatory variables the approach is equivalent to isotonic regression, with some ...
Florian Frommlet
doaj +1 more source
Arthritis Care &Research, Accepted Article.Objective Somatic items used in depression assessments can potentially overlap with symptoms related to physical illness, including systemic sclerosis (SSc). No studies have looked at whether somatic depression items may be influenced by diffuse versus limited SSc disease subtypes, which are associated with varying degrees of symptom presentation.
Sophie Hu +109 more
wiley +1 more source
Comment on ‘Age of enlightenment: long-term effects of outdoor aesthetic lights on bats in churches’ [PDF]
Royal Society Open Science, 2017 This comment reanalyses the data presented in Rydell (Rydell 2017 R. Soc. open. sci. 4, 161077. (doi:10.1098/rsos.161077)) which were analysed using only very basic statistics like Fisher’s exact test and McNemar’s test.
Thierry Onkelinx
doaj +1 more source
On the Consistency of Ordinal Regression Methods [PDF]
, 2017 Many of the ordinal regression models that have been proposed in the literature can be seen as methods that minimize a convex surrogate of the zero-one, absolute, or squared loss functions. A key property that allows to study the statistical implications
Bach, Francis +2 more
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, 2019 Research in functional regression has made great strides in expanding to non-Gaussian functional outcomes, however the exploration of ordinal functional outcomes remains limited.
Coull, Brent A. +4 more
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Bayesian model choice in cumulative link ordinal regression models [PDF]
, 2015 The use of the proportional odds (PO) model for ordinal regression is ubiquitous in the literature. If the assumption of parallel lines does not hold for the data, then an alternative is to specify a non-proportional odds (NPO) model, where the ...
McKinley, TJ, Morters, M, Wood, JLN
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Retractions in rheumatology: trends, causes, and implications for research integrity
Arthritis Care &Research, Accepted Article.Objective We aimed to describe the trends and main reasons for study retraction in rheumatology literature. Methods We reviewed the Retraction Watch database to identify retracted articles in rheumatology. We recorded the main study characteristics, authors’ countries, reasons for retraction, time from publication to retraction, and trends over time ...
Anna Maria Vettori, Michele Iudici
wiley +1 more source
Intravenous pretreatment with emulsified isoflurane preconditioning protects kidneys against ischemia/reperfusion injury in rats [PDF]
, 2009 Ordinal logistic regression models have been developed for analysis of epidemiological studies. However, the adequacy of such models for adjustment has so far received little attention.
Zhaojun Qin +5 more
core +3 more sources