Results 91 to 100 of about 18,112,323 (302)

Prediction in linear mixed models

, 2004
Following estimation of effects from a linear mixed model, it is often useful to form predicted values for certain factor/variate combinations. The process has been well defined for linear models, but the introduction of random effects into the model ...
Gogel, Beverley, Gogel, B., Thompson, Robin, Welham, Sue, Gilmour, A., Cullis, Brian R., Gilmour, Arthur, Welham, S. J., Thompson, R., Cullis, B. R.   +9 more
core   +1 more source

Experimental Effects and Individual Differences in Linear Mixed Models: Estimating the Relation of Spatial, Object, and Attraction Effects in Visual Attention

Frontiers in Psychology, 2011
Linear mixed models (LMMs) provide a still underused methodological perspective on combining experimental and individual-differences research. Here we illustrate this approach with two-rectangle cueing in visual attention (Egly, Driver, & Rafal, 1994)
Reinhold Kliegl, Ping eWei, Michael Dambacher, Ming Yan, Ming Yan, Xiaolin Zhou   +5 more
doaj   +1 more source

Design and analysis strategies for robust microbiome ageing research

FEBS Letters, EarlyView.
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik, İsmail Güderer, Yi Wang, Tayyaba Alvi, Prasoon Pandey, Handan Melike Dönertaş   +5 more
wiley   +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  

Results of the linear-mixed-model predicting the average sound levels in dB(A).

, 2019
Results of the linear-mixed-model predicting the average sound levels in dB(A).
Emma Zijlstra (6411176), Mariët Hagedoorn (3399545), Wim P. Krijnen (2847782), Cees P. van der Schans (830749), Mark P. Mobach (4923070)   +4 more
core   +1 more source

Child weight growth trajectory and its determinants in a sample of Iranian children from birth until 2 years of age

International Journal of Preventive Medicine, 2014
Background: Growth is one of the most important indices in child health. The best and most effective way to investigate child health is measuring the physical growth indices such as weight, height and head circumference.
Sayed-Mohsen Hosseini, Mohamad-Reza Maracy, Sheida Sarrafzade, Roya Kelishadi   +3 more
doaj  

ABL kinase‐dependent phosphorylation of SH proteins promotes their direct interaction with CRK family SH2 domains

FEBS Letters, EarlyView.
CT10 regulator of kinase (CRK) and CRK‐Like (CRKL) are signaling adaptors driving cell adhesion, motility, differentiation, and proliferation. SH2‐domain containing (SH) proteins are enriched in YXXP motifs which when phosphorylated create preferred binding sites for CRK family SH2 domains.
Phoebe M. Cousens, Brendan W. Chandler, Anna M. Schmoker, Jaye L. Weinert, Charlotte A. Kearns, Warren T. Yacawych, Amila Šemić, Alicia M. Ebert, Bryan A. Ballif   +8 more
wiley   +1 more source

Optimal scheduling of smart home appliances using mixed-integer linear programming [PDF]

, 2012
In the last years we have witnessed an increasing interest in smart buildings, in particular for what concerns optimal energy management, renewable energy sources, and smart appliances.
Sartor, Giorgio
core  

The analysis of longitudinal data using mixed model L-splines.

, 2006
L-splines are a large family of smoothing splines defined in terms of a linear differential operator. This article develops L-splines within the context of linear mixed models and uses the resulting mixed model L-spline to analyze longitudinal data from ...
Kenward, M. G., Brian R. Cullis, Welham, Sue J, Kenward, Michael G, Sue J. Welham, Robin Thompson, Cullis, Brian R, Thompson, Robin, Welham, S. J., Thompson, R., Michael G. Kenward, Cullis, B. R.   +11 more
core   +1 more source

A residual based A POSTERIORI error estimator for an augmented mixed finite element method in linear elasticity [PDF]

, 2005
In this paper we develop a residual based a posteriori error analysis for an augmented mixed finite element method applied to the problem of linear elasticity in the plane. More precisely, we derive a reliable and efficient a posteriori error estimator
Heuer, N, González Taboada, María, Heuer, Norbert, González, M, Tomas P. Barrios, Barrios, TP, González, María, Gatica, GN, Maria Gonzalez, Barrios, Tomás P., Norbert Heuer, Gatica, Gabriel N., Gabriel N. Gatica, Gatica, G. N., Barros, T., Heuer, N., Gonzalez, M.   +16 more
core   +1 more source