Results 61 to 70 of about 2,495,910 (283)
ABSTRACT Objective Neuromyelitis optica spectrum disorder (NMOSD) is a devastating neurological disease that lacks serological biomarkers that can accurately reflect disease activity. We established a live cell‐based assay (LCBA) using serum with endogenous complement to quantify the overall cytotoxicity, offering a novel functional tool for monitoring
Xiaona Xu +10 more
wiley +1 more source
Two Stage Robust Dawoud – Kibria Estimator for Handling multicollinearity and outliers in the linear Regression model. [PDF]
In the linear regression model, the least-squares (LS) estimator is commonly used to estimate regression parameters. However, LS becomes unreliable and unfavorable when the model is affected by multicollinearity and outliers simultaneously.
Enas Goda Mohamed
doaj +1 more source
Modifying Two-Parameter Ridge Liu Estimator Based on Ridge Estimation
In this paper, we introduce the new biased estimator to deal with the problem of multicollinearity. This estimator is considered a modification of Two-Parameter Ridge-Liu estimator based on ridge estimation.
Omara, Tarek Mahmoud
core +1 more source
ABSTRACT Objective CDKL5 deficiency disorder (CDD) is a rare, severe developmental and epileptic encephalopathy. There is a pressing need to develop effective and sustainable therapeutic strategies. We aimed to investigate the causal association between febrile episodes and epileptic seizures for therapeutic implications in CDD patients.
Siyi Wang +13 more
wiley +1 more source
Combining the Liu-type estimator and the principal component regression estimator
In this study a new two-parameter estimator which includes the ordinary least squares, the principal components regression (PCR) and the Liu-type estimator is proposed.
İNAN, DENİZ
core +1 more source
Objective Elevated C‐reactive protein (CRP) levels in systemic sclerosis (SSc) have been linked with severe disease and worse survival, but the role of platelet levels remains unclear. This study examined whether elevated platelet levels, CRP levels, or both are associated with disease severity, progression, and survival in SSc.
Brian S. Lee +4 more
wiley +1 more source
A new Liu-type estimator in a mixed Poisson regression model
Mixed Poisson regression models (MPRMs) are widely used for analyzing overdispersed count data. However, the presence of multicollinearity among explanatory variables poses challenges when estimating regression coefficients using the maximum likelihood ...
Ohud A. Alqasem +4 more
doaj +1 more source
New Liu Estimators for the Poisson Regression Model: Method and Application [PDF]
A new shrinkage estimator for the Poisson model is introduced in this paper. This method is a generalization of the Liu (1993) estimator originally developed for the linear regression model and will be generalised here to be used instead of the classical
Shukur, Ghazi +3 more
core
Objective This study investigated the association between frailty and cancer incidence and mortality in patients with rheumatoid arthritis (RA). It aimed to identify how frailty influences cancer risk and cancer‐specific outcomes. Methods This retrospective cohort study analyzed data from the Veterans’ Affairs Rheumatoid Arthritis Registry (2002–2023).
Bhavik Bansal +12 more
wiley +1 more source
Improved Liu Estimator for the Beta Regression Model: Methods, Simulation and Applications [PDF]
The beta regression model (BRM) is a well-known approach to modeling a response variable that has a beta distribution. The maximum likelihood estimator (MLE) does not produce accurate results for the BRM when there is a high degree of multicollinearity ...
Nimra Ilyas +3 more
doaj

