Results 111 to 120 of about 17,239,975 (301)

Dimethyl Fumarate, But Not Rituximab, Reduces Serum GFAP Levels and PIRMA in Relapsing–Remitting MS

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Serum neurofilament light chain (sNfL) and glial fibrillary acidic protein (sGFAP) levels are believed to reflect mainly acute and chronic disease processes in multiple sclerosis (MS), respectively. In this study, we investigated whether dimethyl fumarate (DMF) and rituximab (RTX) differentially affect these biomarkers.
F. Shawket   +14 more
wiley   +1 more source

An Alternative Estimation to Spurious Regression Model [PDF]

open access: yes
In sturdy econometrics specification search problems of unit roots and multicollinearity are well documented since the inception of regression analysis.
Shahidur Rahman
core  

Memory and Resting‐State Connectivity in Acute Transient Global Amnesia: A Case–Control fMRI Study

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background and Objectives Transient global amnesia (TGA) is a striking model of isolated amnesia. While hippocampal lesions are well described, the network‐level mechanisms and the precise neuropsychological profile remain debated. Our objective was thus to characterize functional and neuropsychological correlates of acute TGA and their ...
Elias El Otmani   +10 more
wiley   +1 more source

MIXNO: a computer program for mixed-effects nominal logistic regression [PDF]

open access: yes
MIXNO provides maximum marginal likelihood estimates for mixed-effects nominal logistic regression analysis. These models can be used for analysis of correlated nominal response data, for example, data arising from a clustered or longitudinal design. For
Donald Hedeker
core  

Random-effects parameters for multivariable regression model for the association between body weight and pre-weaning dietary group.

open access: yes, 2018
Random-effects parameters for multivariable regression model for the association between body weight and pre-weaning dietary group.
C. McGregor Argo (4853509)   +3 more
core   +1 more source

Genetic analysis of egg production traits in turkeys (Meleagris gallopavo) using a single-step genomic random regression model. [PDF]

open access: yesGenet Sel Evol, 2021
Emamgholi Begli H   +6 more
europepmc   +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

Simulation Experiments in Practice: Statistical Design and Regression Analysis [PDF]

open access: yes
In practice, simulation analysts often change only one factor at a time, and use graphical analysis of the resulting Input/Output (I/O) data. The goal of this article is to change these traditional, naïve methods of design and analysis, because ...
Kleijnen, J.P.C.
core   +2 more sources

Risk of Non‐Arteritic Anterior Ischemic Optic Neuropathy in Idiopathic Intracranial Hypertension Patients Treated with GLP‐1 Receptor Agonists

open access: yesAnnals 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

Spurious regression under deterministic and stochastic trends [PDF]

open access: yes
This paper analyses the asymptotic and finite sample implications of a mixed nonstationary behavior among the dependent and explanatory variables in a linear spurious regression model. We study the cases when the nonstationarity in the dependent variable
Daniel Ventosa-Santaularia   +1 more
core  

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