Results 71 to 80 of about 4,134,105 (306)

Super‐Refractory Status Epilepticus (SRSE) in a Patient With Compound Heterozygous OPA1 Variants: Case Report and Literature Review

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Super‐Refractory Status Epilepticus (SRSE) is a rare, life‐threatening neurological emergency with unclear etiology in many cases. Mitochondrial dysfunction, often due to disease‐causing genetic variants, is increasingly recognized as a cause, with each gene producing distinct pathophysiological mechanisms.
Pouria Mohammadi   +2 more
wiley   +1 more source

Empirical likelihood inference for threshold autoregressive conditional heteroscedasticity model

open access: yesJournal of Inequalities and Applications, 2021
This paper considers the parameter estimation problem of a first-order threshold autoregressive conditional heteroscedasticity model by using the empirical likelihood method.
Cuixin Peng, Zhiwen Zhao
doaj   +1 more source

ALS With and Without Upper Motor Neuron Signs: A Comparative Study Supporting the Gold Coast Criteria

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective The Gold Coast criteria permit diagnosis of amyotrophic lateral sclerosis (ALS) even without upper motor neuron (UMN) signs. However, whether ALS patients with UMN signs (ALSwUMN) and those without (ALSwoUMN) share similar characteristics and prognoses remains unclear.
Hee‐Jae Jung   +7 more
wiley   +1 more source

Empirical likelihood based heteroscedasticity diagnostics for varying coefficient partially nonlinear models

open access: yesAIMS Mathematics
Heteroscedasticity diagnostics of error variance is essential before performing some statistical inference work. This paper is concerned with the statistical diagnostics for the varying coefficient partially nonlinear model. We propose a novel diagnostic
Cuiping Wang   +2 more
doaj   +1 more source

Piecewise Empirical Likelihood

open access: yes, 2016
Significant changes have been made to article, renamed split sample empirical likelihood.
Jaeger, Adam, Lazar, Nicole
openaire   +2 more sources

Shared Genetic Effects and Antagonistic Pleiotropy Between Multiple Sclerosis and Common Cancers

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Epidemiologic studies have reported inconsistent altered cancer risk in individuals with multiple sclerosis (MS). Factors such as immune dysregulation, comorbidities, and disease‐modifying therapies may contribute to this variability.
Asli Buyukkurt   +5 more
wiley   +1 more source

Empirical likelihood estimation in multivariate mixture models with repeated measurements

open access: yesStatistical Theory and Related Fields, 2020
Multivariate mixtures are encountered in situations where the data are repeated or clustered measurements in the presence of heterogeneity among the observations with unknown proportions.
Yuejiao Fu   +3 more
doaj   +1 more source

Estimation of a discrete monotone distribution [PDF]

open access: yes, 2009
We study and compare three estimators of a discrete monotone distribution: (a) the (raw) empirical estimator; (b) the "method of rearrangements" estimator; and (c) the maximum likelihood estimator.
Jankowski, Hanna K., Wellner, Jon A.
core   +2 more sources

Behavior, sensitivity, and power of activation likelihood estimation characterized by massive empirical simulation

open access: yesNeuroImage, 2016
Given the increasing number of neuroimaging publications, the automated knowledge extraction on brain-behavior associations by quantitative meta-analyses has become a highly important and rapidly growing field of research.
S. Eickhoff   +7 more
semanticscholar   +1 more source

Clustering Algorithm Reveals Dopamine‐Motor Mismatch in Cognitively Preserved Parkinson's Disease

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore the relationship between dopaminergic denervation and motor impairment in two de novo Parkinson's disease (PD) cohorts. Methods n = 249 PD patients from Parkinson's Progression Markers Initiative (PPMI) and n = 84 from an external clinical cohort.
Rachele Malito   +14 more
wiley   +1 more source

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