Results 81 to 90 of about 164,145 (281)

A Systematic Review and Meta‐Analysis of the Recurrence of Autoimmune Encephalitis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Autoimmune encephalitis (AE) is a disease with a potential for recurrence, and patients receive immunotherapy to prevent it. However, there is no consensus on the duration of immunotherapy. This study aimed to determine the recurrence rate and identify the risk factors for AE to provide guidance on the duration of immunotherapy ...
Shangkai Bai, Sen Zhang, Haipei Zhang, Yating Zhang, Junhong Guo, Xiaoyan Yang   +5 more
wiley   +1 more source

A New Biased Estimator to Combat the Multicollinearity of the Gaussian Linear Regression Model

Stats, 2020
In a multiple linear regression model, the ordinary least squares estimator is inefficient when the multicollinearity problem exists. Many authors have proposed different estimators to overcome the multicollinearity problem for linear regression models ...
Issam Dawoud, B. M. Golam Kibria
doaj   +1 more source

Location‐Specific Hematoma Volume Predicts Early Neurological Deterioration in Supratentorial ICH

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Early neurological deterioration (END) adversely affects outcomes in patients with intracerebral hemorrhage (ICH). This study aimed to determine the location‐specific hematoma volumes for END in supratentorial ICH patients. Methods We retrospectively analyzed supratentorial ICH patients presenting from two prospective cohorts.
Zuoqiao Li, Guilin Meng, Zijie Wang, Xiao Hu, Jing Cheng, Chu Chen, Tiannan Yang, Jiaxin Luo, Zizhen Meng, Xueyun Liu, Qi Li   +10 more
wiley   +1 more source

Estimation under Multicollinearity: Application of Restricted Liu and Maximum Entropy Estimators to the Portland Cement Dataset [PDF]

A high degree of multicollinearity among the explanatory variables severely impairs estimation of regression coefficients by the Ordinary Least Squares. Several methods have been suggested to ameliorate the deleterious effects of multicollinearity.
Mishra, SK
core   +1 more source

Inference for a Special Bilinear Time Series Model

, 2014
It is well known that estimating bilinear models is quite challenging. Many different ideas have been proposed to solve this problem. However, there is not a simple way to do inference even for its simple cases.
Ling, Shiqing, Peng, Liang, Zhu, Fukang
core   +2 more sources

Paramagnetic Rim Lesions Are Associated With Trans‐Synaptic Degeneration of the Visual Pathway in Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives Retrograde trans‐synaptic degeneration (rTSD) from posterior visual pathway lesions in multiple sclerosis (MS) is characterized by hemi‐macular ganglion cell‐inner plexiform layer (GCIPL) thinning and contralateral visual field loss.
Abdul Jaber Tayem, Angel Liu, Sargis Manukyan, Mustafa Subhi, Elaina Luskin, Bryan Quah, Sreekanth Madhusoodhanan Nair, Arzu C. Has Silemek, Gabriela Zabala, Yujie Cui, Laura Locke, Paula Barreras, Marwa Kaisey, Vinicius Calsavara, Daniel S. Reich, Nancy L. Sicotte, Pascal Sati, Omar Al‐Louzi   +17 more
wiley   +1 more source

Developing a new modified two–parameter Liu estimator for the gamma regression model: Method, simulation and application to health data

Alexandria Engineering Journal
The gamma regression model is one of the types of generalized linear models intended to work at the observation level and be able to handle the dependent variable, which is continuous, positive, and can often be skewed.
Muqrin A. Almuqrin, Mohammed AbaOud
doaj   +1 more source

Application of the LINEX Loss Function with a Fundamental Derivation of Liu Estimator. [PDF]

Comput Intell Neurosci, 2022
Mohammed MA, Alshanbari HM, El-Bagoury AH.   +2 more
europepmc   +1 more source

TIGER: A Tuning-Insensitive Approach for Optimally Estimating Gaussian Graphical Models [PDF]

, 2012
We propose a new procedure for estimating high dimensional Gaussian graphical models. Our approach is asymptotically tuning-free and non-asymptotically tuning-insensitive: it requires very few efforts to choose the tuning parameter in finite sample ...
Liu, Han, Wang, Lie
core  

Efficiency of a Liu-type estimator in semiparametric regression models

Journal of Computational and Applied Mathematics, 2011
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Esra Akdeniz Duran, Fikri Akdeniz, Hongchang Hu   +2 more
openaire   +3 more sources