Results 71 to 80 of about 345,105 (284)

Clinical Validation of Plasma p‐217tau in Neurological Diseases

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Plasma p‐217tau is a minimally invasive but specific biomarker for diagnosing Alzheimer's disease (AD). However, its disease specificity remains to be clinically evaluated. We validated the reliability of the p‐217tau biomarker in 12 other neurological diseases.
Takeshi Kawarabayashi, Takumi Nakamura, Ryoma Takahashi, Tetsuya Ueda, Seiji Kinoshita, Chikage Uchida, Takashi Sugawara, Kentaro Hashimoto, Kunihiko Ishizawa, Masakuni Amari, Hiroo Kasahara, Yoshio Ikeda, Masamitsu Takatama, Mikio Shoji   +13 more
wiley   +1 more source

Toward a principled sampling theory for quasi-orders

Frontiers in Psychology, 2016
Quasi-orders, that is, reflexive and transitive binary relations, have numerous applications. In educational theories, the dependencies of mastery among the problems of a test can be modeled by quasi-orders.
Ali Ünlü, Martin Schrepp
doaj   +1 more source

The Efficiency of Stratified Quartile Ranked Set Sampling in Estimating the Population Mean

, 2016
[[abstract]]In this paper, new modified ranked set sampling method is suggested for estimating the population mean, namely, stratified quartile ranked set sampling (SQRSS). The SQRSS is compared with simple random sampling (SRS), stratified simple random
Kamarulzaman Ibrahim, Mahmoud Ibrahim Syam, Amer Ibrahim Al-Omari   +2 more
core  

ln-Type Variance Estimators in Simple Random Sampling

, 2020
Until now, various types of estimators have been used for estimating the population variance in simple random sampling studies, including ratio, product, regression and exponential-type estimators. In this article, we propose a family of -type estimators
Kadilar, Cem, Oncel Cekim, Hatice
core   +1 more source

Estimation of prediction error variances via Monte Carlo sampling methods using different formulations of the prediction error variance [PDF]

, 2009
peer-reviewedCalculation of the exact prediction error variance covariance matrix is often computationally too demanding, which limits its application in REML algorithms, the calculation of accuracies of estimated breeding values and the control of ...
Veerkamp Roel F, Calus, M.P., Hickey, John M, Veerkamp, Roel F., Calus Mario PL, Thompson, Robin, Mulder, Han A, Mulder Han A, Calus, M. P. L., Thompson, R., Calus, M.P.L., Veerkamp, R.F., Mulder, H.A., Thompson Robin, Hickey John M, Hickey, J.M.   +15 more
core   +1 more source

Elevated Connectivity During Language Processing Is Associated With Cognitive Performance in SeLECTS

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Self‐Limited Epilepsy with Centrotemporal Spikes (SeLECTS) is associated with language impairments despite seizures originating in the motor cortex, suggesting aberrant cross‐network interactions. Here we tested whether functional connectivity in SeLECTS during language tasks predicts language performance.
Wendy Qi, Katharine Lee, Kerry C. Nix, Miguel Menchaca, Xiwei Shé, Lorelei Santa Maria, Wei Wu, Zihuai He, Fiona M. Baumer   +8 more
wiley   +1 more source

Effectiveness of rTMS on Working Memory and Inhibitory Impairments in Patients With Post‐Stroke Executive Deficits

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Considerable efforts have been dedicated to developing effective treatments for post‐stroke executive impairment (PSEI), among which repetitive transcranial magnetic stimulation (rTMS) has shown great potential. This study aimed to investigate the therapeutic effects of high‐frequency rTMS on working memory (WM) and response ...
Mengting Lao, Rongwei Du, Zhujun Wang, Yang Gao, Meiling Cheng, Xianglong Wang, Wen Wu   +6 more
wiley   +1 more source

Enhancing logistic regression classification: insights from simulation and real-world applications through ranked set sampling

Scientific Reports
Machine learning algorithms are widely used for disease prediction, but the choice of sampling method is a factor that affects model performance, particularly in large populations, limitations on the availability of resources, and imbalanced datasets ...
Razieh Yousefi, Benoit Liquet, Mahdi Mahdizadeh, Leili Tapak, Hassan Doosti, Habibollah Esmaily   +5 more
doaj   +1 more source

Simple Random Sampling and Stratified Random Sampling

, 2014
Mathematical statistics has been used in various areas because of its accurate and objective results, and relatively small errors. Using statistics in research involves the collecting of samples, or a set of independent samples representing a whole group.
Thanh, T. T. (Trần)
core  

High‐Resolution MRI Revealed Different Etiology‐Specific Associations With Cerebral Infarction in Adult Moyamoya Vasculopathy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective High‐resolution MRI enables detailed assessment of intracranial vessel wall pathology in moyamoya vasculopathy. We aimed to classify adult moyamoya vasculopathy etiologies using high‐resolution MRI and to examine subtype‐specific associations between high‐resolution MRI features and ischemic infarction.
Guangsong Han, Jiachun Pan, Yuehui Hong, Xiaoyuan Fan, Ming Yao, Lixin Zhou, Yicheng Zhu, Feng Feng, Jun Ni   +8 more
wiley   +1 more source