Results 121 to 130 of about 18,112,323 (302)
Definition of a linear equivalent model for a non-linear system with impacts [PDF]
, 2012 Modal characteristics of non-linear system are typically studied through response to harmonic excitation and using various definitions of non-linear modes. However, few results are available for systems under broadband excitation.
BALMES, Etienne +2 more
core
Generalized linear mixed model.
, 2016 Generalized linear mixed model.
Flavio Nunes Ramos (3228702) +3 more
core +1 more source
Assessment of robustness of linear mixed model under irregular longitudinal data
Frontiers in Applied Mathematics and StatisticsIntroductionObservational data collected from electronic health records (EHR) are often obtained at irregular visit time points because the visit process may depend on the patient's medical condition or disease severity, which is usually the outcome of ...
Daniel Mashishi +3 more
doaj +1 more source
Engineering peptides into antibodies—opportunities and strategies for therapeutic innovation
FEBS 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]
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
Liver organoids: modelling complexity in homeostasis and disease
FEBS 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
MCMC Methods for Multi-Response Generalized Linear Mixed Models: The MCMCglmm R Package [PDF]
Generalized linear mixed models provide a flexible framework for modeling a range of data, although with non-Gaussian response variables the likelihood cannot be obtained in closed form.
Jarrod D. Hadfield
core
Fair Generalized Linear Mixed Models
CoRRWhen using machine learning for automated prediction, it is important to account for fairness in the prediction. Fairness in machine learning aims to ensure that biases in the data and model inaccuracies do not lead to discriminatory decisions. E.g., predictions from fair machine learning models should not discriminate against sensitive variables such ...
Jan Pablo Burgard, João Vitor Pamplona
openaire +2 more sources
FEBS Letters, EarlyView.This review focuses on the role of autophagy and mitophagy in maintaining pancreatic β‐cell function and homeostasis. We discuss how genetic defects affecting these pathways contribute to the development of type 1, type 2, monogenic, and gestational diabetes. We further explore their potential as therapeutic targets. Created in BioRender.
Yunkyeong Lee +2 more
wiley +1 more source
Lack-of-fit tests in semiparametric mixed models. [PDF]
In this paper we obtain the asymptotic distribution of restricted likelihood ratio tests in mixed linear models with a fixed and finite number of random effects.
Claeskens, Gerda +2 more
core