Results 261 to 270 of about 1,828,929 (311)

Analysis of data from a national micronutrient survey with a linear mixed model: estimates, predictions and lessons for future surveys.

J Public Health Res
Pswarayi HA, Joy EJM, Gashu D, Sandalinas F, Belay A, Lark RM.   +5 more
europepmc   +1 more source

LDAK-KVIK performs fast and powerful mixed-model association analysis of quantitative and binary phenotypes

Hof JP, Speed D.
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Linear Mixed Models

2014
Chapter Preview . We give a general discussion of linear mixed models and continue by illustrating specific actuarial applications of this type of model. Technical details on linear mixed models follow: model assumptions, specifications, estimation techniques, and methods of inference.
Antonio, K., Zhang, Y.
openaire   +2 more sources

Functional Mixed Effects Models

Biometrics, 2002
Summary.In this article, a new class of functional models in which smoothing splines are used to model fixed effects as well as random effects is introduced. The linear mixed effects models are extended to non‐parametric mixed effects models by introducing functional random effects, which are modeled as realizations of zero‐mean stochastic processes ...
openaire   +2 more sources

Nesting Segregated Mixed Models

Journal of Statistical Theory and Practice, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ferreira, Sandra S., Ferreira, Sandra A. D., Nunes, Célia, Mexia, João T.   +3 more
openaire   +4 more sources

The Phylogenetic Mixed Model

The American Naturalist, 2004
The phylogenetic mixed model is an application of the quantitative-genetic mixed model to interspecific data. Although this statistical framework provides a potentially unifying approach to quantitative-genetic and phylogenetic analysis, the model has been applied infrequently because of technical difficulties with parameter estimation.
Elizabeth A, Housworth, Emília P, Martins, Michael, Lynch   +2 more
openaire   +2 more sources

Mixed Model Discrete Regression

Biometrical Journal, 1992
AbstractModels and estimention procedures are given for linear regression models in discrete distributions when the regression contains both fixed and random effects. The methods are developed for discrete variables with typically a small number of possible outcomes such as occurs in ordinal regression. The method is applied to a problem arising in the
J. Zhaorong, C. A. McGilchrist, M. A. Jorgensen   +2 more
openaire   +1 more source