Results 81 to 90 of about 19,774 (283)

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, Maria Osipenko, Esra Akdeniz Duran   +2 more
core  

Improvement of the Liu estimator in linear regression model

Ordinary least squares estimator, mixed estimator, Liu estimator, Stochastic Restricted Liu estimator, Mean Squared error matrix,
P. Wijekoon, M. Hubert
core   +1 more source

Dementia Incidence in Individuals With Parkinson's Disease in the Framingham Heart Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Limited information exists on incident dementia in individuals with Parkinson's disease (PD) in US community‐based samples. We examined cognitive statuses and PD diagnoses of 183 individuals in the Framingham Heart Study (FHS) to establish incident dementia, mortality rates, associations with sex, age at PD onset, and education level.
Joshi Dookhy, Michael Cummings, Eden Price, Yulin Liu, Santiago Gutierrez‐Gomez, Sarah O'Shea, Samuel Frank, Rhoda Au, Ashita S. Gurnani, Ting Fang Alvin Ang, Jesse Mez, Ludy C. Shih   +11 more
wiley   +1 more source

Added Prognostic Value of EEG Reactivity in Comatose Patients Following Cardiac Arrest

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives To evaluate the added prognostic value of EEG reactivity for favorable outcome compared with background analysis during and after targeted temperature management (TTM). Methods Prospective observational cohort study of comatose post–cardiac arrest patients admitted to a single academic center between 2017 and 2022, all undergoing ...
Sarah Caroyer, Marie Obrecht, Charlotte de Maeseneire, Charlotte Damien, Chantal Depondt, Lorenzo Ferlini, Estelle Rikir, Filippo Annoni, Fabio Silvio Taccone, Nicolas Mavroudakis, Benjamin Legros, Nicolas Gaspard   +11 more
wiley   +1 more source

An Investigation into Properties of Jackknifed and Bootstrapped Liu-type Estimator [PDF]

, 2018
In 2003, Liu proposed a new estimator dealing with the problem of multicollinearity in linear regression model pointing out a drawback of ridge estimator used in this context. This new estimator, called Liu-type estimator was demonstrated to have lesser
Khurana, Mansi, Chaubey, Yogendra P., Chaubey, Yogendra P, Chandra, Shalini, Chandra, Shalini Chandra   +4 more
core   +1 more source

The beta Liu-type estimator: simulation and application

, 2023
The Beta Regression Model (BRM) is commonly used while analyzing data where the dependent variable is restricted to the interval [0, 1] for example proportion or probability.
Kadri Ulaş AKAY, Akay, Kadri Ulas, Ertan, Esra, Esra ERTAN, Erkoc, Ali, Algamal, Zakariya Yahya, Zakariya Yahya ALGAMAL, Ali ERKOÇ   +7 more
core   +1 more source

Remarkable Recovery After Delayed High‐Dose Methylprednisolone in a Rare Case of Penetrating Spinal Cord Injury

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Traumatic spinal cord injury (TSCI) caused by sharp‐force penetration is exceptionally rare, and the use of high‐dose methylprednisolone (MP) remains highly controversial, especially beyond the conventional 8‐h treatment window. This case report describes a 30‐year‐old male with acute incomplete TSCI following a knife stab wound to the right ...
Honghong Wang, Shuang Liu, Jiale Wang, Kaiyang Xue, Shenwei Li, Zhongheng Du   +5 more
wiley   +1 more source

Stochastic Restricted Liu Type estimator for SUR model

, 2018
In this paper, we introduce new Stochastic Restricted Estimator for SUR model, defined by Stochastic  Restricted Liu Type  SUR estimator (SRLTSE) . The propose estimator has deal with multicollinearity in SUR model if there is a degree of uncertainty ...
Omara, Tarek Mahmoud
core   +1 more source

Uncovering G Protein‐Coupled Receptors: Novel Targets and Biomarkers for Predicting Glioma Prognosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Low‐grade gliomas (LGG) exhibit significant heterogeneity and recurrence risk. G protein‐coupled receptors (GPCR) contribute to glioma malignant progression, but their prognostic value remains unclear. This work attempts to formulate a GPCR‐based outcome‐predicting model for LGG. Methods Based on TCGA LGG data, the enrichment scores
Jun Yang, Dongxu Zhang, Dongyuan Liu, Da Lin, Hao Wang   +4 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