Results 51 to 60 of about 68,121 (251)

Predictive Ability of Plasma p‐tau217 for β‐Amyloid Status: A Prospective Multicenter Study

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Plasma tau phosphorylated at threonine 217 (p‐tau217) measured with fully automated platforms has shown high accuracy for Alzheimer's disease (AD) diagnosis, but real‐world multicenter data remain limited. We aimed to validate the diagnostic performance of p‐tau217 for identifying AD pathology in a real‐world multicenter cohort ...
Miquel Massons   +33 more
wiley   +1 more source

Generalized linear models and Capture-Recapture Method in a closed population: strengths and weaknesses

open access: yesStatistica, 2013
Capture-recapture methods are used by epidemiologists in order to estimate the size of hidden populations using incomplete and overlapping lists of cases.
Giuseppe Rossi   +3 more
doaj   +1 more source

Ofatumumab in Myelin Oligodendrocyte Glycoprotein Antibody–Associated Disease: A Comparison With Rituximab

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To evaluate the efficacy and safety of ofatumumab in patients with myelin oligodendrocyte glycoprotein antibody–associated disease (MOGAD), and compare it with rituximab. Methods We conducted a single–center, observational study including 22 MOGAD patients treated with ofatumumab and 21 treated with rituximab.
Yuxin Fan   +5 more
wiley   +1 more source

Comprehensive Assessment of Arterial, Tissue, and Venous Collaterals for Evaluating the Infarct Growth Rate: The Multimodal Collateral Score

open access: yesAnnals 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

A Flexible Empirical Bayes Approach to Generalized Linear Models, with Applications to Sparse Logistic Regression

open access: yesCoRR
We introduce a flexible empirical Bayes approach for fitting Bayesian generalized linear models. Specifically, we adopt a novel mean-field variational inference (VI) method and the prior is estimated within the VI algorithm, making the method tuning-free.
Dongyue Xie   +2 more
openaire   +2 more sources

Comparative Effectiveness and Safety of Inebilizumab Versus Rituximab in AQP4‐IgG‐Positive NMOSD

open access: yesAnnals 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

Alternative regression models to assess increase in childhood BMI

open access: yesBMC Medical Research Methodology, 2008
Background Body mass index (BMI) data usually have skewed distributions, for which common statistical modeling approaches such as simple linear or logistic regression have limitations.
Mansmann Ulrich   +3 more
doaj   +1 more source

Spatial and Volumetric Characteristics of Glioblastoma: Associations With Clinical Presentation and Survival

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective We aim to comprehensively analyze how regional tumor and edema characteristics are associated with clinical presentations and survival outcomes in a large cohort of glioblastoma patients. Methods Patients with IDH‐wildtype glioblastoma who received brain MRI from 2010 to 2023 were included.
Daniel J. Zhou   +16 more
wiley   +1 more source

Regularization Paths for Generalized Linear Models via Coordinate Descent

open access: yesJournal of Statistical Software, 2010
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 ℓ1 (the lasso), ℓ2 (ridge
Jerome Friedman   +2 more
doaj  

Bayesian Binary Logistic Generalized Linear Mixed Models of Female Genital Mutilation

open access: yes, 2020
Abstract Background: Female genital mutilation could be a global public unhealthiness, and it's practiced by many communities in Africa, special Ethiopia. In Ethiopia, the factors related to FGM practices are poorly understood. Therefore, this study aimed to assess the prevalence of female genital mutilation and its associated factors with FGM ...
openaire   +1 more source

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