Results 11 to 20 of about 642,957 (213)

Bayesian Linear Mixed Models with Polygenic Effects

Journal of Statistical Software, 2018
We considered Bayesian estimation of polygenic effects, in particular heritability in relation to a class of linear mixed models implemented in R (R Core Team 2018).
Jing Hua Zhao, Jian'an Luan, Peter Congdon   +2 more
doaj   +1 more source

Fitting Linear Mixed-Effects Models Using lme4

Journal of Statistical Software, 2015
Maximum likelihood or restricted maximum likelihood (REML) estimates of the parameters in linear mixed-effects models can be determined using the lmer function in the lme4 package for R. As for most model-fitting functions in R, the model is described in
Douglas Bates, Martin Mächler, Ben Bolker, Steve Walker   +3 more
doaj   +1 more source

Linear Mixed Models: Gum and Beyond

Measurement Science Review, 2014
In Annex H.5, the Guide to the Evaluation of Uncertainty in Measurement (GUM) [1] recognizes the necessity to analyze certain types of experiments by applying random effects ANOVA models.
Arendacká Barbora, Täubner Angelika, Eichstädt Sascha, Bruns Thomas, Elster Clemens   +4 more
doaj   +1 more source

Bayesian Inference for Spatial Beta Generalized Linear Mixed Models [PDF]

Journal of Sciences, Islamic Republic of Iran, 2018
In some applications, the response variable assumes values in the unit interval. The standard linear regression model is not appropriate for modelling this type of data because the normality assumption is not met. Alternatively, the beta regression model
L. Kalhori Nadrabadi, M. Mohhamadzadeh
doaj   +1 more source

Fast and flexible linear mixed models for genome-wide genetics. [PDF]

PLoS Genetics, 2019
Linear mixed effect models are powerful tools used to account for population structure in genome-wide association studies (GWASs) and estimate the genetic architecture of complex traits.
Daniel E Runcie, Lorin Crawford
doaj   +1 more source

Admissibility of Continuous Unbiased Estimators in Linear Mixed Models [PDF]

The Egyptian Statistical Journal, 1991
For a given linear function of the fixed effects in the usual mixed linear model, within the class of estimators, a discontinuous unbiased estimator is introduced.
Samia El-arishy
doaj   +1 more source

Modified BIC Criterion for Model Selection in Linear Mixed Models

Mathematics, 2023
Linear mixed-effects models are widely used in applications to analyze clustered, hierarchical, and longitudinal data. Model selection in linear mixed models is more challenging than that of linear models as the parameter vector in a linear mixed model ...
Hang Lai, Xin Gao
doaj   +1 more source

lmerTest Package: Tests in Linear Mixed Effects Models

Journal of Statistical Software, 2017
One of the frequent questions by users of the mixed model function lmer of the lme4 package has been: How can I get p values for the F and t tests for objects returned by lmer?
Alexandra Kuznetsova, Per B. Brockhoff, Rune H. B. Christensen   +2 more
doaj   +1 more source

Accessible analysis of longitudinal data with linear mixed effects models

Disease Models & Mechanisms, 2022
Longitudinal studies are commonly used to examine possible causal factors associated with human health and disease. However, the statistical models, such as two-way ANOVA, often applied in these studies do not appropriately model the experimental design,
Jessica I. Murphy, Nicholas E. Weaver, Audrey E. Hendricks   +2 more
doaj   +1 more source

Violation of the Sphericity Assumption and Its Effect on Type-I Error Rates in Repeated Measures ANOVA and Multi-Level Linear Models (MLM)

Frontiers in Psychology, 2017
We investigated the effects of violations of the sphericity assumption on Type I error rates for different methodical approaches of repeated measures analysis using a simulation approach.
Nicolas Haverkamp, André Beauducel
doaj   +1 more source