Results 121 to 130 of about 525,986 (287)
Best Practices for Binary and Ordinal Data Analyses. [PDF]
Behav Genet, 2021 Verhulst B, Neale MC.
europepmc +1 more source
Recognizing mathematical talent : an approach using discriminant analysis [PDF]
The aim of this paper is to extract mathematically talented students out of a group of arbitrary high school students. We do this by applying a stepwise discriminant analysis modified for ordinal data to the results of German high school students at the ...
Gebel, Meike, Sibbertsen, Philipp
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American Journal of Medical Genetics Part A, EarlyView.ABSTRACT The objective of this study is to describe outcomes of rapid exome (rES) and rapid genome sequencing (rGS) in an inpatient setting. This is a retrospective cohort of inpatients with rES or rGS during their hospitalization between April 2016 and November 2023.
Cecilia M. Kessler +5 more
wiley +1 more source
Australian Journal of Social Issues, EarlyView.ABSTRACT While research has identified a disconnect between the minimum age of criminal responsibility (MACR) and public perceptions of criminal culpability among young people, no study has examined how offender characteristics influence support for reform using an experimental design. To address this, this study presents the first experimental test of
Cameron T. Langfield +3 more
wiley +1 more source
A distance metric for ordinal data based on misclassification
Journal of Innovative Applied Mathematics and Computational SciencesDistances between data sets are used for analyses such as classification and clustering analyses. Some existing distance metrics, such as the Manhattan (City Block or L1 ) distance, are suitable for use with categorical data, where the data subtype is ...
Dreas Nielsen
doaj +1 more source
An Ordinal Regression Model using Dealer Satisfaction Data [PDF]
This article analyses dealer satisfaction data in the agricultural technology market in Germany. The dealers could rate their suppliers in the 'overall satisfaction' and in 38 questions which can be summarized in 8 dimensions. An ordinal regression model
Alexander Staus
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International Forum of Allergy &Rhinology, EarlyView.ABSTRACT Background Chronic rhinosinusitis with nasal polyps (CRSwNP) is a type 2 inflammatory disease often associated with asthma. The global airway hypothesis suggests bidirectional inflammatory interactions between upper and lower airways. Mepolizumab, an anti–IL‐5 therapy, treats conditions systemically, while functional endoscopic sinus surgery ...
Jens Tidemandsen +9 more
wiley +1 more source
Rationale of New Grading System: Central Compartment Atopic Disease
International Forum of Allergy &Rhinology, EarlyView.ABSTRACT Background Central compartment atopic disease (CCAD) has recently been recognized as a distinct phenotype within the spectrum of type 2–dominant chronic rhinosinusitis (CRS). Although international guidelines highlight polypoid changes in the central nasal cavity, standardized diagnostic and classification criteria are still lacking.
Ramón Moreno‐Luna +11 more
wiley +1 more source
Annals of Neurology, EarlyView.Objective The evidence regarding adherence to dietary patterns and Parkinson's disease (PD) risk is inconsistent. Because of the long prodromal PD phase, reverse causation represents a major threat to investigations of diet in relation to PD. We examined whether adherence to the Mediterranean (MED) and Mediterranean‐Dietary Approaches to Stop ...
Mariem Hajji‐Louati +6 more
wiley +1 more source
Classification of Ordinal Data
, 2006 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