Results 41 to 50 of about 212,226 (248)
The Generalized Integer Gamma Distribution—A Basis for Distributions in Multivariate Statistics
Journal of Multivariate Analysis, 1998 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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FEBS Open Bio, EarlyView.NMR metabolomics revealed concentration‐dependent metabolic perturbations in HepG2 cells exposed to H2O2. Rifampicin pretreatment enhanced metabolic competence, attenuated toxin‐induced alterations and produced metabolite profiles more consistent with human liver physiology, supporting the use of CYP450‐induced HepG2 models for improved in vitro ...
Maren Jinks +4 more
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Limiting Multivariate Distributions of Intermediate Order Statistics
The Annals of Probability, 1985 Let Z(m,n) represent the mth largest (reverse) order statistic in a random sample of size n from a distribution F. Further let \(m=m(n)\) be an intermediate sequence of (n) in the sense that m/n\(\to 0\) and \(m\to \infty\) as \(n\to \infty\).
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Evaluating the effect of γ‐oryzanol on MASLD pathology using a medaka fish model
FEBS Open Bio, EarlyView.This study explores a liver disease called MASLD, which is increasing worldwide and can lead to serious damage. Researchers used medaka fish instead of rodents to test a food compound, γ‐oryzanol. Fish fed this compound had less liver fat and healthier gut bacteria.
Yukako Ito +7 more
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Treatment of Multivariate Outliers in Incomplete Business Survey Data
Austrian Journal of Statistics, 2016 The distribution of multivariate quantitative survey data usually is not normal. Skewed and semi-continuous distributions occur often. In addition, missing values and non-response is common.
Marc Bill, Beat Hulliger
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Asymptotic Distributions of Multivariate Rank Order Statistics
The Annals of Statistics, 1976 By means of a general weak convergence theorem some invariance principles are proven for the multivariate sequential empirical process and for the multivariate rank order process w.r.t. stronger metrics than the generalized Skorohod metric. The underlying random variables are neither assumed to be independent nor to be stationary.
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Accurate and noninvasive prostate cancer detection using plasma‐derived extracellular vesicle RNA
FEBS Open Bio, EarlyView.Plasma extracellular vesicles were captured with WGA‐conjugated magnetic beads and profiled for RNA biomarkers. A three‐RNA panel (NM_024955, NR_047469, and NR_002564) distinguished prostate cancer from healthy controls and benign prostatic hyperplasia, supporting a simple, noninvasive approach to improve prostate cancer detection.
Hanping Wei, Haoran Wu, Wei Feng
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Robust multivariate nonparametric tests for detection of two-sample location shift in clinical trials. [PDF]
PLoS ONE, 2018 This article presents and investigates performance of a series of robust multivariate nonparametric tests for detection of location shift between two multivariate samples in randomized controlled trials.
Xuejun Jiang +4 more
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Vestibular Patient Journey: Insights From Vestibular Disorders Association (VeDA) Registry
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Vestibular symptoms impose a high burden of disability. Understanding real‐world diagnostic and treatment pathways can identify care gaps and guide interventions. We aimed to characterize symptom profiles, diagnostic trends, provider involvement, and treatment patterns in vestibular disorders.
Ali Rafati +10 more
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Power Estimation in Multivariate Analysis of Variance [PDF]
Tutorials in Quantitative Methods for Psychology, 2007 Power is often overlooked in designing multivariate studies for the simple reason that it is believed to be too complicated. In this paper, it is shown that power estimation in multivariate analysis of variance (MANOVA) can be approximated using a F ...
Jean François Allaire, Sylvain Chartier
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