Results 81 to 90 of about 52,118 (271)

Erythropoietin modulates hepatic inflammation, glucose homeostasis, and soluble epoxide hydrolase and epoxides in high‐fat diet‐induced obese mice

open access: yesFEBS Open Bio, EarlyView.
Erythropoietin administration suppresses hepatic soluble epoxide hydrolase (sEH) expression, leading to increased CYP‐derived epoxides. This is associated with a shift in hepatic macrophage polarization characterized by reduced M1 markers and increased M2 markers, along with reduced hepatic inflammation, suppressed hepatic lipogenesis, and attenuated ...
Takeshi Goda   +12 more
wiley   +1 more source

Iterative calibration of medical digital twins via adaptive estimators

open access: yesFrontiers in Applied Mathematics and Statistics
While iterative calibration of computational models is a fundamental aspect of digital twins, it has been largely overlooked. Instead of focusing on parameter identification for static models, the implementation of digital twins requires not only high ...
Juan E. Sereno   +3 more
doaj   +1 more source

Calibration of shrinkage estimators for portfolio optimization [PDF]

open access: yes
Shrinkage estimators is an area widely studied in statistics. In this paper, we contemplate the role of shrinkage estimators on the construction of the investor's portfolio.
Alberto Martín Utrera   +2 more
core  

Prediction Model for Etiologic Differentiation of Isolated Vestibular Syndrome in Emergency Settings

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective This study aimed to develop and validate a predictive model for differentiating central from peripheral etiologies in patients with isolated vestibular syndrome (VS). Methods In this multicenter retrospective cohort study, 506 patients with isolated VS from five hospitals were divided into derivation (n = 301) and validation (n = 205)
Guo Wenting   +12 more
wiley   +1 more source

Optimal Galaxy Distance Estimators

open access: yes, 1993
The statistical properties of galaxy distance estimators are studied and a rigorous framework is developed for identifying and removing the effects of Malmquist bias due to obsevational selection.
Hendry, Martin A., Simmons, John F. L.
core   +2 more sources

Exploratory Analysis of ELP1 Expression in Whole Blood From Patients With Familial Dysautonomia

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Familial dysautonomia (FD) is a hereditary neurodevelopmental disorder caused by aberrant splicing of the ELP1 gene, leading to a tissue‐specific reduction in ELP1 protein expression. Preclinical models indicate that increasing ELP1 levels can mitigate disease manifestations.
Alejandra González‐Duarte   +13 more
wiley   +1 more source

New Conventional and Calibration Estimators of Finite Population Variance Under Two-Occasions Sampling in the Presence of Random Nonresponse

open access: yesJournal of Applied Mathematics
This paper tackles the issue of estimating population variance in surveys conducted over two occasions (successive) sampling, specifically when dealing with random nonresponse.
A. Audu   +3 more
doaj   +1 more source

Partial robust M-regression. [PDF]

open access: yes
Partial Least Squares (PLS) is a standard statistical method in chemometrics. It can be considered as an incomplete, or 'partial', version of the Least Squares estimator of regression, applicable when high or perfect multicollinearity is present in the ...
Croux, Christophe   +3 more
core  

Aggregated functional data model for Near-Infrared Spectroscopy calibration and prediction [PDF]

open access: yes, 2013
Calibration and prediction for NIR spectroscopy data are performed based on a functional interpretation of the Beer-Lambert formula. Considering that, for each chemical sample, the resulting spectrum is a continuous curve obtained as the summation of ...
Dias, Ronaldo   +3 more
core  

Parametric bootstrap approximation to the distribution of EBLUP and related prediction intervals in linear mixed models

open access: yes, 2008
Empirical best linear unbiased prediction (EBLUP) method uses a linear mixed model in combining information from different sources of information. This method is particularly useful in small area problems.
Chatterjee, Snigdhansu   +2 more
core   +3 more sources

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