Results 101 to 110 of about 658,808 (305)

Diagnostics for generalised linear mixed models [PDF]

Generalized linear mixed models are generalized linear models that include random effects varying between clusters or 'higher-level' units of hierarchically structured data. Such models can be estimated using gllamm.
Sophia Rabe-Hesketh, Anders Skrondal
core  

The human gut microbiome across the life course

FEBS Letters, EarlyView.
Despite significant individual variation and continuous change throughout life, the human gut microbiome follows some life stage‐specific trends. This article provides a brief overview of how gut microbiome composition shifts across different phases of life. Created in BioRender. Özkurt, E. (2026) https://BioRender.com/8q4nrnc.
Alise J. Ponsero, Basak Bahcivanci, Antonietta Hayhoe, Animesh Acharjee, Ezgi Özkurt   +4 more
wiley   +1 more source

S-estimation and a robust conditional Akaike information criterion for linear mixed models. [PDF]

We study estimation and model selection on both the fixed and the random effects in the setting of linear mixed models using outlier robust S-estimators.
Tharmaratnam, Kukatharmini, Claeskens, Gerda   +1 more
core  

Finite Mixtures of Generalized Linear Regression Models [PDF]

, 2007
Generalized linear models have become a standard technique in the statistical modelling toolbox for investigating relationships between variables.
Bettina Grün, Leisch, Friedrich, Friedrich Leisch, Grün, Bettina   +3 more
core   +1 more source

A Review of the Linear Sufficiency and Linear Prediction Sufficiency in the Linear Model with New Observations

, 2021
We consider the general linear model y = Xβββ + εεε, denoted as M = {y, Xβββ, V}, supplemented with the new unobservable random vector y∗, coming from y∗ = X∗βββ + εεε∗, where the covariance matrix of y∗ is known as well as the cross-covariance matrix ...
Isotalo, Jarkko, Kala, Radosław, Puntanen, S., Markiewicz, Augustyn, Jarkko Isotalo, Haslett, Stephen, Puntanen, Simo, Radosław Kala, Augustyn Markiewicz, Markiewicz, A., Kala, Radoslaw, Stephen J. Haslett, Haslett, Stephen J., Simo Puntanen   +13 more
core   +1 more source

Degradation mechanism of the von Willebrand factor A2 domain by nattokinase

FEBS Letters, EarlyView.
Nattokinase, a natto‐derived protease, exhibits potent antithrombotic effects. This study demonstrates that nattokinase directly cleaves the von Willebrand factor (vWF) A2 domain in vitro. Unlike the native regulator ADAMTS13, nattokinase degrades folded vWF independently of shear stress.
Ryuichi Hyakumoto, Masatomo So, Ayako Furukawa, Kenji Sugase   +3 more
wiley   +1 more source

A variance shilf model for outlier detection and estimation in linear and linear mixed models

, 2008
Includes abstract.Includes bibliographical references.Outliers are data observations that fall outside the usual conditional ranges of the response data.They are common in experimental research data, for example, due to transcription errors or faulty ...
Gumedze, Freedom Nkhululeko
core  

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

, 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, Woods, D.C., Woods, David C, Waite, T.W.   +3 more
core   +1 more source

Modulation of Homer1 EVH1 domain internal dynamics by putative autism‐associated mutations

FEBS Letters, EarlyView.
The putative autism‐associated M65I and S97L variants of the EVH1 domain of the postsynaptic scaffold protein Homer1 do not exhibit substantial changes in their overall structure or partner binding. Both of them, but especially the M65I variant, show altered internal dynamics relative to the wild‐type domain on the μs‐ms timescale, indicated by the ...
Fanni Farkas, Brigitta Maruzs, Zsófia E. Kálmán, Tomas Klumpler, Gyula Batta, Bálint Péterfia, Zoltán Gáspári   +6 more
wiley   +1 more source

A calibration function from change points using linear mixed models [PDF]

, 2019
The change point problem is an interesting topic in both cross-sectional and longitudinal settings. In the cross-sectional scenario, the change point problem has been studied extensively.
Garcia Cruz, Ehidy Karime
core