Results 71 to 80 of about 2,609,891 (296)

Regression Models for Ordinal Data

Journal of the Royal Statistical Society Series B: Statistical Methodology, 1980
Summary A general class of regression models for ordinal data is developed and discussed. These models utilize the ordinal nature of the data by describing various modes of stochastic ordering and this eliminates the need for assigning scores or otherwise assuming cardinality instead of ordinality.
openaire   +2 more sources

Reserves, Injury Severity, and Outcomes in Traumatic Brain Injury: A CENTER‐TBI Observational Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Reserve refers to the brain's ability to maintain function after an injury and strongly relates to traumatic brain injury (TBI) outcomes. This study examined (1) whether associations between pre‐injury reserve proxies and outcomes differed across injury severity categories, and (2) whether the impact of injury severity varied across ...
Natascha Ekdahl, Marika C. Möller, Lindsay Wilson, Anne Vik, Toril Skandsen, Jonas Stenberg, CENTER‐TBI participants and investigators   +6 more
wiley   +1 more source

Conditional ordinal regression based on chain rule probability in Swin Transformer for improved ordinal image classification

MethodsX
• Effective image analysis relies on robust feature extraction, a capability for which Swin Transformer is suited. However, ordinal image classification specifically requires capturing the ordered progression of labels.
Alan Prahutama, Suparti, Iut T. Utami, Muhammad H. Mudafiq, Roel F. Ceballos   +4 more
doaj   +1 more source

Data‐Driven SuStaIn Model of Disability Progression in Amyotrophic Lateral Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To determine whether ordinal Subtype and Stage Inference (SuStaIn) applied to routine ALSFRS‐R item scores can identify reproducible disability progression patterns in amyotrophic lateral sclerosis (ALS) and provide clinically meaningful staging.
Giammarco Milella, Veria Vacchiano, Vittorio Velucci, Stefano Zoccolella, Rocco Liguori, Giovanni Defazio   +5 more
wiley   +1 more source

Factors Influencing Satisfaction with Patient-Controlled Analgesia Among Postoperative Patients Using a Generalized Ordinal Logistic Regression Model

Asian Nursing Research, 2020
Summary: Purpose: The purpose of this study was to identify the factors affecting the satisfaction with patient-controlled analgesia (PCA) of patients using a generalized ordinal logistic regression model and to evaluate the difference in results of the
Wonhee Baek, Yeonsoo Jang, Chang Gi Park, Mir Moon   +3 more
doaj   +1 more source

Ordinal Logistic Regression Analysis in Determining Factors Associated with Socioeconomic Status of Household in Tepi Town, Southwest Ethiopia

The Scientific World Journal, 2022
Background. Socioeconomic status (SES) refers to an individual’s or group’s social position or class, which is often determined by a combination of education, income, and occupation.
Mesfin Esayas Lelisho, Abebe Argaw Wogi, Seid Ali Tareke   +2 more
doaj   +1 more source

lpfann/fri: Ordinal Regression

, 2018
<p>This release includes the support for ordinal regression (ordered classification) problems.</p ...
Boyuan Deng, Lukas Pfannschmidt, Ariel Rokem, Vighnesh Birodkar, Kyle Jackson, MechCoder, Fabian Pedregosa   +6 more
core   +1 more source

On the Consistency of Ordinal Regression Methods

J. Mach. Learn. Res., 2014
Many of the ordinal regression models that have been proposed in the literature can be seen as methods that minimize a convex surrogate of the zero-one, absolute, or squared loss functions. A key property that allows to study the statistical implications of such approximations is that of Fisher consistency.
Pedregosa, Fabian, Bach, Francis, Gramfort, Alexandre   +2 more
openaire   +4 more sources

Early Clinical and Cerebrospinal Fluid Predictors of 1‐Year Recurrence in Autoimmune GFAP Astrocytopathy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Autoimmune glial fibrillary acidic protein astrocytopathy (GFAP‐A) is an inflammatory central nervous system disorder with variable outcomes. Relapse occurs in a subset of patients, but early predictors remain unclear. We aimed to identify admission‐available features associated with 1‐year recurrence and develop an interpretable ...
Qingting Hong, Yuping Xiao, Yuhan Wu, Ziyuan Huang, Weishan Liang, Li Xiao, Yaqing Shu, Tingting Lu, Yanyu Chang, Wei Qiu, Yuge Wang   +10 more
wiley   +1 more source

Systemic Extracerebral Atherosclerotic Burden and Dementia Risk After Incident Stroke

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Stroke survivors are at increased risk of dementia, but clinically accessible markers of risk heterogeneity remain limited. Previous studies have largely examined atherosclerotic disease in individual vascular beds rather than the overall burden of systemic extracerebral atherosclerosis.
Zhexuan Yu, Tianxue Chen, Wei Jin, Weifeng Jin, Haitong Wan   +4 more
wiley   +1 more source