Ordinal regression by extended binary classification [PDF]
, 2007 We present a reduction framework from ordinal regression to binary classification based on extended examples. The framework consists of three steps: extracting extended examples from the original examples, learning a binary classifier on the extended ...
Lin, Hsuan-Tien +3 more
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Rethinking Support Allocation: Mental Health and Patterns of Homelessness Support Utilisation
Australian Journal of Social Issues, EarlyView.ABSTRACT Homelessness support agencies face substantial puzzles in allocating scarce resources: who gets access and who stays on the waitlist? This paper examines the influence of mental illness on the patterns of consuming non‐clinical homelessness support by persons experiencing homelessness and at risk.
Godwin Kavaarpuo, Kathryn Daley
wiley +1 more source
The patterns of facial fractures in traumatic brain injury (TBI) patients using ordinal regression: a retrospective study of five years. [PDF]
AIMS Neurosci, 2022 Nawi MAA +6 more
europepmc +1 more source
Measure and integral with purely ordinal scales [PDF]
We develop a purely ordinal model for aggregation functionals for lattice valued functions, comprising as special cases quantiles, the Ky Fan metric and the Sugeno integral. For modeling findings of psychological experiments like the reflection effect in
Dieter Denneberg, Michel Grabisch
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Ordinal regression based on data relationship
, 2019 Ordinal regression is a supervised learning problem which aims to classify instances into ordinal categories. It is different from multi-class classification because there is an ordinal relationship between the categories.
Liu, Yanzhu
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Cohesion Without Consensus: Attitudinal Profiles of Social Cohesion in Australia
Australian Journal of Social Issues, EarlyView.ABSTRACT Headline indicators of social cohesion in Australia have remained stable in recent years despite rising political polarisation and declining institutional trust worldwide. Yet recent protests and incidents of ethnically and politically motivated violence suggest that cohesion may be under strain. If cohesion is understood not as the pursuit of
John van Kooy
wiley +1 more source
A coefficient of discrimination for use with nominal and ordinal regression models. [PDF]
J Appl Stat, 2021 Smith TJ, Walker DA, McKenna CM.
europepmc +1 more source
Ordinal Variables and the Measurement of Polarization [PDF]
This paper aims at proposing measures of polarization for the distribution of a variable when information on the latter is only ordinal. The measures proposed are borrowed from the recent literature on the measurement of segregation.
FUSCO Alessio, SILBER Jacques
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A Comparison of Frailty Indices in Predicting Postoperative Outcomes After Endoscopic Sinus Surgery
International Forum of Allergy &Rhinology, EarlyView.ABSTRACT Objective To compare the discriminatory performance of the Risk Analysis Index (RAI) and modified Frailty Index‐5 (mFI‐5) in predicting postoperative outcomes following endoscopic sinus surgery (ESS). Study Design Retrospective cohort study. Methods Adult ESS patients were identified from the ACS‐NSQIP database (2005–2020).
Akshay Warrier +6 more
wiley +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
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