Results 131 to 140 of about 3,684,995 (295)
A Note on Estimated Coefficients in Random Effects Probit Models. [PDF]
This note points out to applied researchers what adjustments are needed to the coefficient estimates in a random effects probit model in order to make valid comparisons in terms of coefficient estimates and marginal effects across different ...
Arulampalam, W.
core
PARP inhibitors induce a senescence phenotype in non‐small cell lung carcinoma cell lines
FEBS Open Bio, EarlyView.Talazoparib is the most potent inducer of senescence among different PARP1 inhibitors in human NSCLC cells. In the absence of PARP, no senescence phenotype was observed, demonstrating that PARP1 is necessary for the induction of senescence by this inhibitor.
Camille Huart +7 more
wiley +1 more source
Frontiers in Environmental ScienceIntroductionDo environmental technologies always yield desirable returns? This study addresses this question through the lens of command-and-control environmental regulation.
Xiaoyu Yin +3 more
doaj +1 more source
Attribution of economic joint effects is achieved with a random order model of their relative importance. Random order consistency and elementary axioms uniquely identify linear and proportional marginal attribution.
Feldman, Barry
core +1 more source
Linear Models with Nested Random Effects
SymmetrySymmetry is a crucial concept in various fields of mathematics, offering a systematic approach to understanding structural properties and simplifying complex problems. This study focuses on linear mixed models, emphasizing the role of symmetry in the design of experiments and the structure of variance–covariance matrices. Building on foundational works,
openaire +1 more source
FEBS 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
Sensitivity of GLS estimators in random effects models
Journal of Multivariate Analysis, 2007 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +2 more sources
FEBS Open Bio, EarlyView.In this study, we developed a deep learning method for mitotic figure counting in H&E‐stained whole‐slide images and evaluated its prognostic impact in 13 external validation cohorts from seven different cancer types. Patients with more mitotic figures per mm2 had significantly worse patient outcome in all the studied cancer types except colorectal ...
Joakim Kalsnes +32 more
wiley +1 more source
FEBS Open Bio, EarlyView.Amino acids sequence of two different proteins with the same sequence (chameleon sequence—black boxes) represent in 3D structure of the proteins different secondary structures: HHHH—helical and BBB—Beta‐structural. The chains folded in water environment adopt different III‐order structures in which the chameleon fragments appear to adopt similar status
Irena Roterman +4 more
wiley +1 more source
Optimality criteria for models with random effects
, 2009 Summary: In the context of linear models, an optimality criterion is developed for models that include random effects. Traditional information-based criteria are premised on all model effects being regarded as fixed. When treatments and/or nuisance parameters are assumed to be random effects, an appropriate optimality criterion can be developed under ...
HOOKS, TISHA +3 more
openaire +2 more sources