Results 11 to 20 of about 121,428 (266)
Leveraging deep learning to infer continuous predictions from ordinal labels in medical imaging. [PDF]
PLOS Digital HealthIn clinical medicine, variables like disease severity are often categorized into discrete ordinal labels such as normal/mild/moderate/severe. However, these labels, commonly used to train and evaluate disease severity prediction models, simplify an ...
Katharina V Hoebel +9 more
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Statistical Analysis of Ordinal Response Variable: A Comparative Study [PDF]
المجلة العراقية للعلوم الاحصائية, 2022 Response variables in biological phenomena vary between three types: numerical response variables, ordinal categorical response variables, and nominal categorical response variables. In statistical studies, handling ordinal variables varies in accordance
Liqaa Alhamdany, Zaid Tariq Salah
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A Summary Indicator Providing a Snapshot of Political Opinions when Variables are Ordinal
International Journal of Empirical Economics, 2022 This paper deals with the evaluation of the relative performance of different groups when the achievements of the members of a group are summarised by the relative distribution of these achievements across various ordered categories.
Joseph Deutsch, Jacques Silber
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Bivariate Distributions Underlying Responses to Ordinal Variables
Psych, 2021 The association between two ordinal variables can be expressed with a polychoric correlation coefficient. This coefficient is conventionally based on the assumption that responses to ordinal variables are generated by two underlying continuous latent ...
Laura Kolbe, Frans Oort, Suzanne Jak
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Median Distance Model for Likert-Type Items in Contingency Table Analysis
Revstat Statistical Journal, 2023 Likert-type items (questions) are a widely used scale in questionnaire design. The “neutral” or “undecided” option may lead to misinterpretation and confusion about the results.
Serpil Aktas Altunay +1 more
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Sentiment as an Ordinal Latent Variable
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023 Sentiment analysis has become a central tool in various disciplines outside of natural language processing. In particular in applied and domain-specific settings with strong requirements for interpretable methods, dictionary-based approaches are still a popular choice. However, existing dictionaries are often limited in coverage, static once annotation
Stoehr, Niklas; id_orcid0000-0003-2867-0236 +2 more
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Weighted Trajectory Analysis and Application to Clinical Outcome Assessment
BioMedInformatics, 2023 The Kaplan–Meier (KM) estimator is widely used in medical research to estimate the survival function from lifetime data. KM estimation is a powerful tool to evaluate clinical trials due to simple computational requirements, its use of a logrank ...
Utkarsh Chauhan +3 more
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Sichuan jingshen weisheng, 2021 The purpose of this paper was to introduce the CMH χ2 test and SAS software implementation of the three kinds of R×C contingency table data. The first type was called “two-way unordered R×C contingency table data”.
Hu Chunyan, Hu Liangping
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Frontiers in Education, 2020 The analysis of factor structures is one of the most critical psychometric applications. Frequently, variables (i.e., items or indicators) resulting from questionnaires using ordinal items with 2–7 categories are used.
Alexander Robitzsch, Alexander Robitzsch
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Scoring ordinal variables for constructing composite indicators
Statistica, 2013 In order to provide composite indicators of latent variables, for example of customer satisfaction, it is opportune to identify the structure of the latent variable, in terms of the assignment of items to the subscales defining the latent variable ...
Marica Manisera
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