Results 81 to 90 of about 658,858 (308)

Mixed-effect linear regression candidate models.

, 2019
Mixed-effect linear regression candidate models.
Jason Parker (2050768), Caitlin Danehy (6597767), Christopher J. Koliba (6597755), Gabriela Bucini (6597764), Julia M. Smith (6597770), Asim Zia (4278076), Timothy Sellnow (6597758), Scott C. Merrill (4458286), Serge Wiltshire (6597761), Susan M. Moegenburg (2912912)   +9 more
core   +1 more source

Fitting multilevel multivariate models with missing data in responses and covariates that may include interactions and non-linear terms [PDF]

, 2012
The paper extends existing models for multilevel multivariate data with mixed response types to handle quite general types and patterns of missing data values in a wide range of multilevel generalized linear models.
Browne, William J, William J. Browne, Carpenter, James R, James R. Carpenter, Harvey Goldstein, Carpenter, James, Carpenter, James R., Browne, William J., Goldstein, Harvey   +8 more
core   +1 more source

Hyperosmotic stress induces PARP1‐mediated HPF1‐dependent mono(ADP‐ribosyl)ation

FEBS Letters, EarlyView.
Sorbitol‐induced hyperosmotic stress rapidly induces reversible mono(ADP‐ribosyl)ation (MARylation) on PARP1 without the signs of genotoxic signaling. We show that PARP1 autoMARylation is HPF1 dependent and forms hydroxylamine‐resistant O‐glycosidic linkages.
Anna Georgina Kopasz, Mihály Mérey, Rebeka Vásárhelyi, Ramóna Pék, Victor Imburchia, László Henn, Adrián Kószó, Nicholas D. Lakin, Ivan Ahel, Sébastien Huet, Ágnes Czibula, Gyula Timinszky   +11 more
wiley   +1 more source

Gauss-Hermite quadrature approximation for estimation in generalised linear mixed models

, 2003
This paper provides a unified algorithm to explicitly calculate the maximum likelihood estimates of parameters in a general setting of generalised linear mixed models (GLMMs) in terms of Gauss-Hermite quadration approximation.
Pan, J., Thompson, R.
core   +1 more source

Organizing the interface—Plasma membrane architecture and receptor dynamics in virus‐cell interactions

FEBS Letters, EarlyView.
Plasma membranes contain dynamic nanoscale domains that organize lipids and receptors. Because viruses operate at similar scales, this architecture shapes early infection steps, including attachment, receptor engagement, and entry. Using influenza A virus and HIV‐1 as examples, we highlight how receptor nanoclusters, multivalent glycan interactions ...
Jan Schlegel, Christian Sieben
wiley   +1 more source

Half-Normal Plots and Overdispersed Models in R: The hnp Package

Journal of Statistical Software, 2017
Count and proportion data may present overdispersion, i.e., greater variability than expected by the Poisson and binomial models, respectively. Different extended generalized linear models that allow for overdispersion may be used to analyze this type of
Rafael A Moral, John Hinde, Clarice G B Demétrio   +2 more
doaj   +1 more source

Robust MM-Estimation and Inference in Mixed Linear Models [PDF]

Mixed linear models are used to analyse data in many settings. These models generally rely on the normality assumption and are often fitted by means of the maximum likelihood estimator (MLE) or the restricted maximum likelihood estimator (REML). However,
Stephane Heritier, Samuel Copt
core  

Latent mixed models [PDF]

, 2009
The linear mixed model has been a major research interest of Dr Arthur Gilmour, motivated by problems arising in research data generated by agricultural scientists.
Thompson, R.
core  

Quasi-Monte Carlo estimation in generalized linear mixed models [PDF]

, 2006
Generalized linear mixed models (GLMMs) are useful for modelling longitudinal and clustered data, but parameter estimation is very challenging because the likelihood may involve high-dimensional integrals that are analytically intractable.
Pan, Jianxin, Thompson, Robin, Pan, J., Thompson, R.   +3 more
core   +1 more source

pH‐mediated activation of the lysosomal arginine sensor SLC38A9

FEBS Letters, EarlyView.
Cells monitor nutrient levels via the lysosomal transporter SLC38A9 to activate the mechanistic target of rapamycin complex 1 (mTORC1). This study reveals that SLC38A9 function is regulated by pH. We identified histidine 544 as a critical pH sensor that undergoes conformational changes to control amino acid efflux from lysosomes; therefore, it ...
Xuelang Mu, Ampon Sae Her, Tamir Gonen
wiley   +1 more source