Results 91 to 100 of about 112,882 (301)
CSF Monoamine Metabolites and Cognitive Trajectory in Early Parkinson's Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Imaging and postmortem studies indicate that abnormalities in monoaminergic neurotransmission contribute to cognitive impairment in Parkinson's disease (PD). However, it remains uncertain if cerebrospinal fluid (CSF) monoamine metabolites can serve as biomarkers of cognitive decline in early PD.
Jing‐Yu Shao +7 more
wiley +1 more source
Estimating Outliers Using the Iterative Method in Partial Least Squares Regression Analysis for Linear Models. [PDF]
المجلة العراقية للعلوم الاحصائيةOutliers affect the accuracy of the estimated parameters of the partial least squares regression model and give unacceptably large residual values. Traditional robust methods (used in ordinary least squares) cannot be used to treat outliers in estimating
Mahammad Bazid, taha ali
doaj +1 more source
Pendugaan Parameter Partial Least Square Regression (Plsr) Menggunakan Nonlinier Itertive Partial Least Square (Nipals) Pada Regresi Logistik Ordinal [PDF]
, 2014 Regresi logistik adalah pemodelan matematik yang dapat digunakan untuk menggambarkan hubungan beberapa peubah prediktor dengan peubah respon yang berupa kategori.
Purwanti, Yeni
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SPG4 and Dementia: Expanding the Clinical Spectrum
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Hereditary spastic paraplegia (HSP) is a group of disorders characterized by progressive spasticity and lower limb weakness, with mutations in SPG4/SPAST being the most common cause. Detailed studies and clinical and molecular comparisons across different populations are missing.
Emanuele Panza +19 more
wiley +1 more source
Quaternion Kernel Partial Least Squares Regression Algorithms
Journal of the Franklin InstituteThis work provides three quaternion kernel partial least squares (PLS) algorithms for linear and nonlinear regressions. Firstly, the problem of large ill-conditioned matrices is tackled and two specifically designed linear kernel algorithms are suggested.
José Domingo Jiménez-López +3 more
openaire +2 more sources
, 2012 The core of the linear regression model is to find the values of the coefficient estimator explanatory variables on the dependent variable so as to provide the error value as small as possible.
, Prof. Dr. Sri Haryatmi, M.Sc +1 more
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Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Stereoelectroencephalography‐guided radiofrequency thermocoagulation (SEEG‐RFTC) has emerged as a safe and effective minimally invasive treatment for children with drug‐resistant focal epilepsy. Although evidence from real‐world studies remains limited, numerous pediatric cases have demonstrated promising outcomes. This retrospective
Weitao Chen +7 more
wiley +1 more source
(Non) Linear Regression Modeling [PDF]
We will study causal relationships of a known form between random variables. Given a model, we distinguish one or more dependent (endogenous) variables Y = (Y1, . . .
Čížek, Pavel
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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 +6 more
wiley +1 more source
Difference based Ridge and Liu type Estimators in Semiparametric Regression Models [PDF]
We consider a difference based ridge regression estimator and a Liu type estimator of the regression parameters in the partial linear semiparametric regression model, y = Xβ + f + ε.
Wolfgang Karl Härdle +2 more
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