Results 81 to 90 of about 457,622 (321)

Prediction Model for Etiologic Differentiation of Isolated Vestibular Syndrome in Emergency Settings

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective This study aimed to develop and validate a predictive model for differentiating central from peripheral etiologies in patients with isolated vestibular syndrome (VS). Methods In this multicenter retrospective cohort study, 506 patients with isolated VS from five hospitals were divided into derivation (n = 301) and validation (n = 205)
Guo Wenting, Du Liping, Yang Yi, Hu Jin, Ye Bijun, Wang Jianer, Liu Shuangsi, Guo Shunyuan, Cai Xiaofeng, Wang Huiyuan, Wu Bin, Yu Xiang, Shi Tianming   +12 more
wiley   +1 more source

Invariant Empirical Bayes Confidence Interval for Mean Vector of Normal Distribution and its Generalization for Exponential Family

پژوهش‌های ریاضی, 2017
Based on a given Bayesian model of multivariate normal with  known variance matrix we will find an empirical Bayes confidence interval for the mean vector components which have normal distribution. We will find this empirical Bayes confidence interval as
mehdi shams
doaj  

Identification Robust Confidence Sets Methods for Inference on Parameter Ratios and their Application to Estimating Value-of-Time [PDF]

The problem of constructing confidence set estimates for parameter ratios arises in a variety of econometrics contexts; these include value-of-time estimation in transportation research and inference on elasticities given several model specifications ...
Clément Yélou, Denis Bolduc, Lynda Khalaf   +2 more
core  

Diffusion Tractography Biomarker for Epilepsy Severity in Children With Drug‐Resistant Epilepsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To develop a novel deep‐learning model of clinical DWI tractography that can accurately predict the general assessment of epilepsy severity (GASE) in pediatric drug‐resistant epilepsy (DRE) and test if it can screen diverse neurocognitive impairments identified through neuropsychological assessments.
Jeong‐Won Jeong, Min‐Hee Lee, Hiroshi Uda, Yoon Ho Hwang, Michael Behen, Aimee Luat, Csaba Juhász, Eishi Asano   +7 more
wiley   +1 more source

Estimation and Bayesian Prediction of the Generalized Pareto Distribution in the Context of a Progressive Type-II Censoring Scheme

Applied Sciences
The generalized Pareto distribution plays a significant role in reliability research. This study concentrates on the statistical inference of the generalized Pareto distribution utilizing progressively Type-II censored data.
Tianrui Ye, Wenhao Gui
doaj   +1 more source

Treatment Effects on Ordinal Outcomes: Causal Estimands and Sharp Bounds

, 2018
Assessing the causal effects of interventions on ordinal outcomes is an important objective of many educational and behavioral studies. Under the potential outcomes framework, we can define causal effects as comparisons between the potential outcomes ...
Dasgupta, Tirthankar, Ding, Peng, Lu, Jiannan   +2 more
core   +1 more source

Confidence intervals for the random forest generalization error

Pattern Recognition Letters, 2022
We show that the byproducts of the standard training process of a random forest yield not only the well known and almost computationally free out-of-bag point estimate of the model generalization error, but also give a direct path to compute confidence intervals for the generalization error which avoids processes of data splitting and model retraining.
openaire   +2 more sources

Decreased Serum 5‐HT: Clinical Correlates and Regulatory Role in NMJ of MG

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Although 5‐Hydroxytryptamine (5‐HT) indirectly stimulates muscle contraction and participates in regulating Acetylcholine receptor (AChR) cluster homeostasis in cellular, animal, and clinical studies, evidence regarding its potential to modulate muscle contraction in myasthenia gravis (MG) remains limited.
Xinru Shen, Jing Zhang, Xinyue Zhou, Xiaoxiao Yu, Haodong Shang, Shufan Chen, Lulu Zhen, Jinru Wu, Guanlian Hu, Xiaoyan Zhu, Zhan Sun, Yiren Wang, Jiahui Wang, Jie Lv, Xue Zhao, Yingna Zhang, Wei Guo, Ying Peng, Feng Gao   +18 more
wiley   +1 more source

Impact of APOE ε4 Genotype Load on Cognitive Function and Lipid Metabolism in Patients With Cerebral Small Vessel Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Apolipoprotein ε4 (APOE ε4) is a potent genetic risk factor for Alzheimer's disease (AD). However, its role in cerebral small vessel disease (CSVD) remains unclear. Given the clinical and pathological similarities between CSVD and AD, this study aimed to investigate the associations of APOE ε4 gene dosage with cognitive function and
Tingru Jin, Haocheng Yang, Feng Liu, Sihao Lin, Junru Hu, Jian Wang, Yulan Gou   +6 more
wiley   +1 more source

Sociodemographic and geographic disparities in COVID-19 booster vaccination in Nueces County, Texas, USA

Heliyon
Objective: This paper explores sociodemographic determinants and geographic disparities in COVID-19 booster uptake among fully vaccinated adults in Nueces County, Texas, USA with a population of over 353,000.
Yuxia Huang, Jim Lee, Lei Jin, Md Mahabubur Rahman, Ana Guerrero, Meng Zhao, Kyoung Lee   +6 more
doaj   +1 more source