Results 51 to 60 of about 2,537,006 (253)

Logistic model trees [PDF]

, 2005
Tree induction methods and linear models are popular techniques for supervised learning tasks, both for the prediction of nominal classes and numeric values.
Hall, Mark A., Landwehr, Niels, Frank, Eibe   +2 more
core   +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

THE ORDINAL LOGISTIC REGRESSION MODEL WITH SAMPLING WEIGHTS ON DATA FROM THE NATIONAL SOCIO-ECONOMIC SURVEY

Barekeng, 2022
Ordinal logistic regression is a method describing the relationship between an ordered categorical response variable and one or more explanatory variables.
Reni Amelia, Indahwati Indahwati, Erfiani Erfiani   +2 more
doaj   +1 more source

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

Severity of malnutrition among underweight children and family‐related factors: A cross‐sectional analysis of data from the 2019 Ethiopian Demographic and Health Survey (EDHS)

Health Science Reports, 2022
Background and Aims Malnutrition is one of the key factors in children's inappropriate physical and mental development. It is a significant issue that results in the deaths of 3.5 million children under the age of 5 every year worldwide.
Gedif M. Alemayehu, Kebadu T. Cherie, Ayele G. Chernet   +2 more
doaj   +1 more source

Diagnosis In The Ordinal Logistic Regression Model

, 2021
The relationship between one or more of the explanatory variables and the ordinal categorical response variable is described as "Ordinal logistic regression (ORS) models." The quality of the fit for the model must be checked when the regression model has
Rasheed, Noha M
core   +1 more source

Cracking the Code: Which Ocular Symptoms Predict Dry Eye Signs? Insights From a Large International Sicca Registry

Arthritis Care &Research, EarlyView.
Objective The study aimed to identify symptom‐based predictors of dry eye disease (DED) signs in the Sjögren's International Collaborative Clinical Alliance (SICCA) cohort. Methods We performed a retrospective analysis examining 16 ocular symptoms (most graded 0–4) and artificial tear (AT) use (graded 0–3) as predictors of DED signs (abnormal ocular ...
Pragnya R. Donthineni, Chloe Shields, Rohit Muralidhar, Shreya Bhatt, Alan Baer, Robert Fox, Sara S. McCoy, Anat Galor   +7 more
wiley   +1 more source

Parameter Estimation of Geographically and Temporally Weighted Elastic Net Ordinal Logistic Regression

Mathematics
Geographically and Temporally Weighted Elastic Net Ordinal Logistic Regression is a parsimonious ordinal logistic regression with consideration of the existence of spatial and temporal effects.
Margaretha Ohyver, Purhadi, Achmad Choiruddin   +2 more
doaj   +1 more source

Principaux modèles utilisés en régression logistique [PDF]

Biotechnologie, Agronomie, Société et Environnement, 2011
Main models used in logistic regression. Regression is a commonly used technique for decribing the relationship between a response variable and one or more explanatory variables.
Gillet, A., Brostaux, Y., Palm, R.
doaj  

Ordinal Regression Analysis: Using Generalized Ordinal Logistic Regression Models to Estimate Educational Data [PDF]

, 2012
The proportional odds (PO) assumption for ordinal regression analysis is often violated because it is strongly affected by sample size and the number of covariate patterns.
Liu, Xing, Koirala, Hari, Xing Liu, Hari Koirala   +3 more
core   +1 more source