Results 111 to 120 of about 25,855,092 (323)
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Accessing brain magnetic resonance imaging (MRI) can be challenging, especially for underserved patients, which may lead to disparities in neurological diagnosis. Method This mixed‐methods study enrolled adults with one of four neurological disorders: mild cognitive impairment or dementia of the Alzheimer type, multiple sclerosis ...
Maya L. Mastick +19 more
wiley +1 more source
, 2003 This paper illustrates the impact of ignoring survey design and hierarchical structure of survey data when fitting regression models. Data on child nutritional status from Ghana, Malawi, Tanzania, Zambia, and Zimbabwe are analysed using four techniques ...
Holmes, David +3 more
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Chinese Journal of Contemporary Neurology and NeurosurgeryObjective To investigate the predictive value of a modified Acute Stroke Registry and Analysis of Lausanne (ASTRAL) score, in which the triglyceride glucose (TyG) index replaces the glucose parameter of ASTRAL score, for poor prognosis in ischemic ...
PEI Lu-lu +5 more
doaj +1 more source
Malaria attributable fractions with changing transmission intensity: Bayesian latent class vs logistic models. [PDF]
Malar J, 2022 Mwai K +10 more
europepmc +1 more source
Validity of a Wearable Digital Insole for Assessing Gait ON and OFF in Parkinson's Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Gait impairment is a distinctive symptom of Parkinson's disease that negatively impact mobility. We assessed the validity of wearable digital insoles against a validated reference gait analysis system for measuring select gait characteristics in patients with Parkinson's disease. Methods A comparative analysis between digital insoles
Deborah A. Hall +16 more
wiley +1 more source
On Pearson's X^2 for categorical response variables [PDF]
In this talk I discuss Pearson's X2 as a measure of goodness of fit for quantal response models, including binary outcome models (logit, probit, gompit), multinomial logistic regression (mlogit) and conditional logistic regression (clogit).
Jeroen Weesie
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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
Accelerating L1-penalized expectation maximization algorithm for latent variable selection in multidimensional two-parameter logistic models. [PDF]
PLoS One, 2023 Shang L, Xu PF, Shan N, Tang ML, Ho GT.
europepmc +1 more source
Vestibular Patient Journey: Insights From Vestibular Disorders Association (VeDA) Registry
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Vestibular symptoms impose a high burden of disability. Understanding real‐world diagnostic and treatment pathways can identify care gaps and guide interventions. We aimed to characterize symptom profiles, diagnostic trends, provider involvement, and treatment patterns in vestibular disorders.
Ali Rafati +10 more
wiley +1 more source
Validation procedures in radiological diagnostic models. Neural network and logistic regression [PDF]
The objective of this paper is to compare the performance of two predictive radiological models, logistic regression (LR) and neural network (NN), with five different resampling methods.
Estanislao Arana +2 more
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