Mapping of the DLQI scores to EQ-5D utility values using ordinal logistic regression
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DOI: 10.1007/s11136-017-1607-4
Abstract: PurposeThe Dermatology Life Quality Index (DLQI) and the European Quality of Life-5 Dimension (EQ-5D) are separate measures that may be used to gather health-related quality of life (HRQoL) information from patients. The EQ-5D is a… read more here.
Keywords: health utility; regression; utility; ordinal logistic ... See more keywords
Longitudinal Joint Modelling of Ordinal and Overdispersed Count Outcomes: A Bridge Distribution for the Ordinal Random Intercept
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DOI: 10.1155/2021/5521881
Abstract: Associated longitudinal response variables are faced with variations caused by repeated measurements over time along with the association between the responses. To model a longitudinal ordinal outcome using generalized linear mixed models, integrating over a… read more here.
Keywords: ordinal logistic; bridge distribution; random intercept; count ... See more keywords
Prevalence and Triggering Factors of Childhood Anemia: An Application of Ordinal Logistic Regression Model
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DOI: 10.1155/2022/2212624
Abstract: Introduction Anemia is indeed a significant risk factor for children's health as it affects growth retardation and has severe short and prolonged effects that follow in morbidity and death. Notwithstanding such ways to tackle anemia,… read more here.
Keywords: childhood anemia; logistic regression; prevalence; model ... See more keywords
Assessing COVID-19 risk with temporal indices and geographically weighted ordinal logistic regression in US counties
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DOI: 10.1371/journal.pone.0265673
Abstract: Purpose Research on the novel coronavirus diseases 2019 (COVID-19) mainly relies on cross-sectional data, but this approach fails to consider the temporal dimension of the pandemic. This study assesses three temporal dimensions of the COVID-19… read more here.
Keywords: logistic regression; covid risk; risk; geographically weighted ... See more keywords
Validation of in silico biomarkers for drug screening through ordinal logistic regression
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DOI: 10.3389/fphys.2022.1009647
Abstract: Since the Comprehensive in vitro Proarrhythmia Assay (CiPA) initiation, many studies have suggested various in silico features based on ionic charges, action potentials (AP), or intracellular calcium (Ca) to assess proarrhythmic risk. These in silico… read more here.
Keywords: logistic regression; silico; vitro datasets; risk ... See more keywords