Results 41 to 50 of about 470,038 (304)

Context-specific independencies for ordinal variables in chain regression models [PDF]

open access: yes, 2017
In this work we handle with categorical (ordinal) variables and we focus on the (in)dependence relationship under the marginal, conditional and context-specific perspective.
Cazzaro, Manuela, Nicolussi, Federica
core   +1 more source

Frailty Exacerbates Disability in Progressive Multiple Sclerosis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background To evaluate frailty in severe progressive multiple sclerosis (PMS) and to investigate the underlying mechanisms. Methods This prospective, cross‐sectional, multicenter study enrolled a late severe PMS group requiring skilled nursing (n = 53) and an age, sex, and disease duration‐matched control PMS group (n = 53).
Taylor R. Wicks   +10 more
wiley   +1 more source

A Monte Carlo Simulation Study to Assess Estimation Methods in CFA on Ordinal Data

open access: yesCauchy: Jurnal Matematika Murni dan Aplikasi, 2022
Likert-type scale data are ordinal data and are commonly used to measure latent constructs in the educational, social, and behavioral sciences. The ordinal observed variables are often treated as continuous variables in factor analysis, which may cause ...
Nina Fitriyati, Madona Yunita Wijaya
doaj   +1 more source

Modeling continuous response variables using ordinal regression [PDF]

open access: yesStatistics in Medicine, 2017
We study the application of a widely used ordinal regression model, the cumulative probability model (CPM), for continuous outcomes. Such models are attractive for the analysis of continuous response variables because they are invariant to any monotonic transformation of the outcome and because they directly model the cumulative distribution function ...
Qi Liu   +3 more
openaire   +3 more sources

Post‐COVID Fatigue Is Associated With Reduced Cortical Thickness After Hospitalization

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Neuropsychiatric symptoms are among the most prevalent sequelae of COVID‐19, particularly among hospitalized patients. Recent research has identified volumetric brain changes associated with COVID‐19. However, it currently remains poorly understood how brain changes relate to post‐COVID fatigue and cognitive deficits.
Tim J. Hartung   +190 more
wiley   +1 more source

Inequality and Total Effect Summary Measures for Nominal and Ordinal Variables

open access: yesSociological Science
Many of the topics most central to the social sciences involve nominal groupings or ordinal rankings. There are many cases in which a summary of a nominal or ordinal independent variable's effect, or the effect on a nominal or ordinal outcome, is needed ...
Trenton D. Mize, Bing Han
doaj   +1 more source

Some Properties of a Recently Introduced Approach to Ordinal Regression

open access: yesAustrian 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

Models for the association between ordinal variables [PDF]

open access: yesComputational Statistics & Data Analysis, 1998
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lapp, Krista   +2 more
openaire   +2 more sources

Association of Corticospinal Tract Asymmetry With Ambulatory Ability After Intracerebral Hemorrhage

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Ambulatory ability after intracerebral hemorrhage (ICH) is important to patients. We tested whether asymmetry between ipsi‐ and contra‐lesional corticospinal tracts (CSTs) assessed by diffusion tensor imaging (DTI) is associated with post‐ICH ambulation.
Yasmin N. Aziz   +25 more
wiley   +1 more source

Assessing copula models for mixed continuous-ordinal variables

open access: yesDependence Modeling
Vine pair-copula constructions exist for a mix of continuous and ordinal variables. In some steps, this can involve estimating a bivariate copula for a pair of mixed continuous-ordinal variables.
Pan Shenyi, Joe Harry
doaj   +1 more source

Home - About - Disclaimer - Privacy