Results 61 to 70 of about 816,450 (327)

Diabetes‐induced vascular calcification is associated with low pyrophosphate and its oral supplementation prevents calcification in diabetic mice

open access: yesFEBS Open Bio, EarlyView.
Induction of diabetes in three different mouse strains uniformly resulted in an increase in TNAP activity and a reduction in pyrophosphate (PPi) in the circulation. Inhibition of TNAP restored plasma PPi. Diabetes‐induced calcification in the media layer of the aorta was detected only in the Abcc6−/− strain, which is predisposed to ectopic ...
Krisztina Fülöp   +13 more
wiley   +1 more source

A Consistent Nonparametric Test for Granger Non-Causality Based on the Transfer Entropy

open access: yesEntropy, 2020
To date, testing for Granger non-causality using kernel density-based nonparametric estimates of the transfer entropy has been hindered by the intractability of the asymptotic distribution of the estimators. We overcome this by shifting from the transfer
Cees Diks, Hao Fang
doaj   +1 more source

Bayesian and frequentist testing for differences between two groups with parametric and nonparametric two‐sample tests

open access: yesWIREs Computational Statistics, 2020
Testing for differences between two groups is one of the scenarios most often faced by scientists across all domains and is particularly important in the medical sciences and psychology.
Riko Kelter
semanticscholar   +1 more source

KLK7 overexpression promotes an aggressive phenotype and facilitates peritoneal dissemination in colorectal cancer cells

open access: yesFEBS Open Bio, EarlyView.
KLK7, a tissue kallikrein‐related peptidase, is elevated in advanced colorectal cancer and associated with shorter survival. High KLK7 levels in ascites correlate with peritoneal metastasis. In mice, KLK7 overexpression increases metastasis. In vitro, KLK7 enhances cancer cell proliferation, migration, adhesion, and spheroid formation, driving ...
Yosr Z. Haffani   +6 more
wiley   +1 more source

Non-parametric hypothesis testing to address fundamental life testing issues in reliability analysis with some real applications

open access: yesAIMS Mathematics
Life categories and probability distributions are part of a new field in reliability that has emerged as a result of the daily generation of data that has become more complex across practical fields.
M. E. Bakr
doaj   +1 more source

Goodness–of–Fit Tests for Bivariate Time Series of Counts

open access: yesEconometrics, 2021
This article considers goodness-of-fit tests for bivariate INAR and bivariate Poisson autoregression models. The test statistics are based on an L2-type distance between two estimators of the probability generating function of the observations: one being
Šárka Hudecová   +2 more
doaj   +1 more source

Cutaneous Melanoma Drives Metabolic Changes in the Aged Bone Marrow Immune Microenvironment

open access: yesAging and Cancer, EarlyView.
Melanoma, the deadliest form of skin cancer, increasingly affects older adults. Our study reveals that melanoma induces changes in iron and lipid levels in the bone marrow, impacting immune cell populations and increasing susceptibility to ferroptosis.
Alexis E. Carey   +12 more
wiley   +1 more source

Profile Inferences on Restricted Additive Partially Linear EV Models

open access: yesAbstract and Applied Analysis, 2013
We consider the testing problem for the parameter and restricted estimator for the nonparametric component in the additive partially linear errors-in-variables (EV) models under additional restricted condition.
Xiuli Wang
doaj   +1 more source

The permutation testing approach: a review

open access: yesStatistica, 2013
In recent years permutation testing methods have increased both in number of applications and in solving complex multivariate problems. A large number of testing problems may also be usefully and effectively solved by traditional parametric or rank-based
Fortunato Pesarin, Luigi Salmaso
doaj   +1 more source

Nonparametric testing of lack of dependence in functional linear models.

open access: yesPLoS ONE, 2020
An important inferential task in functional linear models is to test the dependence between the response and the functional predictor. The traditional testing theory was constructed based on the functional principle component analysis which requires ...
Wenjuan Hu, Nan Lin, Baoxue Zhang
doaj   +1 more source

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