Results 91 to 100 of about 11,261,456 (259)

Application of Mixed Linear Models in the Analysis of Road Surface Features

open access: yesLithuanian Journal of Statistics, 2015
The data were collected by researchers at the Road Research Institute, in a study investigating the impact of differentfactors on road surface strength.
Jurgita Židanavičiūtė   +1 more
doaj   +1 more source

Peripheral lysosomes recruit PLEKHG3 to focal adhesions and restrain protrusion dynamics

open access: yesFEBS Letters, EarlyView.
Proximity‐dependent labeling at the LAMTOR complex revealed the Rho GEF PLEKHG3 as a lysosome‐proximal protein directing the study toward the influence of lysosome positioning on actin dynamics and cell motility. We show that PLEKHG3 colocalizes with lysosomes at focal adhesion sites and observe that forced peripheral dispersion of lysosomes hinders ...
Rainer Ettelt   +8 more
wiley   +1 more source

Smooth-car mixed models for spatial count data [PDF]

open access: yes, 2008
Penalized splines (P-splines) and individual random effects are used for the analysis of spatial count data. P-splines are represented as mixed models to give a unified approach to the model estimation procedure.
Durbán, María, Lee, Dae-Jin
core   +1 more source

Engineering peptides into antibodies—opportunities and strategies for therapeutic innovation

open access: yesFEBS Letters, EarlyView.
Peptides and antibodies occupy complementary therapeutic niches. Peptides recognize difficult targets in a compact format, while antibodies add specificity, long half‐life, and effector functions. This review examines strategies that merge both modalities—peptide grafting into loops, terminal and Fc fusions, and bioconjugation—highlighting how ...
Jinling Wang   +2 more
wiley   +1 more source

Goodness-of-fit tests in mixed models. [PDF]

open access: yes
Mixed models, with both random and fixed effects, are most often estimated on the assumption that the random effects are normally distributed. In this paper we propose several formal tests of the hypothesis that the random effects and/or errors are ...
Claeskens, Gerda, Hart, Jeffrey D.
core  

Designs for generalized linear models with random block effects via information matrix approximations

open access: yes, 2015
The selection of optimal designs for generalized linear mixed models is complicated by the fact that the Fisher information matrix, on which most optimality criteria depend, is computationally expensive to evaluate.
Waite, Timothy W   +3 more
core   +1 more source

Neighborhood-level heterogeneity in childhood morbidity through generalized linear mixed models

open access: yesFrontiers in Public Health
ObjectiveChildhood morbidities are crucial for improving long-term public health outcomes. This study aimed to examine the existence of child-specific and regional variation in childhood morbidity based on the cross-cutting study of the Performance ...
Endeshaw A. Derso   +8 more
doaj   +1 more source

Congruency of Separable Affix Verb Combinations Is Linearly Indexed by the N400

open access: yesFrontiers in Human Neuroscience, 2018
Separable affix verbs consist of a stem and a derivational affix, which, in some languages can appear together or in discontinuous, distributed form, e.g., German “aufgreifen” and “greifen … auf” [“up-pick(ing)” and “pick … up”].
Jeff Hanna   +3 more
doaj   +1 more source

Liver organoids: modelling complexity in homeostasis and disease

open access: yesFEBS Letters, EarlyView.
Studying liver in vitro has been challenging because simple 2D cell cultures fail to capture liver's cellular and architectural complexity. To bridge this gap, scientists increasingly use organoids, 3D liver models which better mimic liver composition and function. This review examines recent advances in liver organoid complexity and realism, discusses
Anna M. Dowbaj, Meritxell Huch
wiley   +1 more source

Precise asymptotics for linear mixed models with crossed random effects

open access: yesStatistical Theory and Related Fields
We obtain an asymptotic normality result that reveals the precise asymptotic behaviour of the maximum likelihood estimators of parameters for a very general class of linear mixed models containing cross random effects.
Jiming Jiang   +2 more
doaj   +1 more source

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