Results 131 to 140 of about 3,902,333 (190)

Choice of Link Functions for Generalized Linear Mixed Models in Meta-Analyses of Proportions. [PDF]

Res Methods Med Health Sci
Siegel LK, Silva M, Lin L, Chen Y, Liu YL, Chu H.   +5 more
europepmc   +1 more source

Pseudobulk with proper offsets has the same statistical properties as generalized linear mixed models in single-cell case-control studies. [PDF]

Bioinformatics
Lee H, Han B.
europepmc   +1 more source

Flagging unusual clusters based on linear mixed models using weighted and self-calibrated predictors. [PDF]

Biometrics
McCulloch CE, Neuhaus JM, Boylan RD.
europepmc   +1 more source

Maintaining the validity of inference from linear mixed models in stepped-wedge cluster randomized trials under misspecified random-effects structures. [PDF]

Stat Methods Med Res
Ouyang Y, Taljaard M, Forbes AB, Li F.
europepmc   +1 more source

Prediction of Junior High School Students' Problematic Internet Use: The Comparison of Neural Network Models and Linear Mixed Models in Longitudinal Study. [PDF]

Psychol Res Behav Manag
Tian M, Xing Q, Wang X, Yuan X, Cheng X, Ming Y, Yin K, Li Z, Wang P.   +8 more
europepmc   +1 more source

Application of factor analytic and spatial mixed models for the analysis of multi-environment trials in common bean (Phaseolus vulgaris L.) in Ethiopia. [PDF]

PLoS One
Argaw T, Fenta BA, Assefa E.
europepmc   +1 more source

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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 ...
Wensheng Guo
exaly   +3 more sources

Improvement of mixed predictors in linear mixed models

Journal of Applied Statistics, 2020
In this paper, we introduce stochastic-restricted Liu predictors which will be defined by combining in a special way the two approaches followed in obtaining the mixed predictors and the Liu predictors in the linear mixed models. Superiorities of the linear combination of the new predictor to the Liu and mixed predictors are done in the sense of mean ...
Özge Kuran, M. Revan Özkale
openaire   +2 more sources