Results 111 to 120 of about 8,144,314 (302)
Regularization Paths for Generalized Linear Models via Coordinate Descent [PDF]
We develop fast algorithms for estimation of generalized linear models with convex penalties. The models include linear regression, two-class logistic regression, and multi- nomial regression problems while the penalties include âÂÂ_1 (the lasso), à ...
Trevor Hastie +2 more
core
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Collaterals are crucial factors that influence the infarct growth rate (IGR). We aimed to determine whether a comprehensive multimodal collateral score (MCS), incorporating collateral assessment at the arterial, tissue, and venous levels, is associated with functional independence and provides incremental prognostic value over ...
Giorgio Busto +12 more
wiley +1 more source
Chinese Journal of Contemporary Neurology and NeurosurgeryObjective To explore the impact of acute⁃phase volume load on clinical outcome in patients with branch atheromatous disease (BAD)⁃related stroke. Methods A total of 345 patients with BAD⁃related stroke were enrolled from June 2021 to June 2023 in the ...
HU Hai⁃zhou, LI Sheng⁃de, NI Jun
doaj +1 more source
Corrigendum: Peanut Leaf Wilting Estimation From RGB Color Indices and Logistic Models. [PDF]
Front Plant Sci, 2021 Sarkar S +3 more
europepmc +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Introduction Glucagon‐like peptide‐1 receptor agonists (GLP‐1 RAs) have demonstrated significant weight‐reducing effects and may offer benefits in idiopathic intracranial hypertension (IIH); however, recent concerns about the risk of non‐arteritic anterior ischemic optic neuropathy (NAION) have emerged.
Faisal A. Al‐Harbi +9 more
wiley +1 more source
Examining the Robustness of the Graded Response and 2-Parameter Logistic Models to Violations of Construct Normality. [PDF]
Educ Psychol Meas, 2022 Manapat PD, Edwards MC.
europepmc +1 more source
Model selection in logistic regression
, 2015 This paper is devoted to model selection in logistic regression. We extend the model selection principle introduced by Birgé and Massart (2001) to logistic regression model. This selection is done by using penalized maximum likelihood criteria. We propose in this context a completely data-driven criteria based on the slope heuristics.
Kwemou, Marius +2 more
openaire +3 more sources
Novel logistic regression models to aid the diagnosis of dementia
, 2012 Clinicians often experience difficulties in the diagnosis of dementia due to the intrinsic complexity of the process and lack of comprehensive diagnostic tools. Different models have been proposed to provide medical decision support in dementia diagnosis.
Hussain, Amir +5 more
core +1 more source
Models of multivariate logistic regression.
, 2020 Models of multivariate logistic regression.
Young-Joon Kwon (8282361) +12 more
core +1 more source
Comparative Effectiveness and Safety of Inebilizumab Versus Rituximab in AQP4‐IgG‐Positive NMOSD
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Rituximab (anti‐CD20, RTX) and inebilizumab (anti‐CD19, INE) represent B‐cell‐depleting therapies used for aquaporin‐4 antibody‐positive (AQP4‐IgG+) neuromyelitis optica spectrum disorder (NMOSD); however, direct comparative evidence remains limited.
Jie Lin +11 more
wiley +1 more source