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Diagnostics for repeated measurements in generalized linear mixed effects models
Journal of Applied Statistics, 2019As there is an extensive body of research on diagnostics in regression models, various outlier detection methods have been developed.
Minkyung Oh, Jungwon Mun
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Linear and generalized linear mixed effects models
2009In Chapter 8 we learned about the concept of hierarchical modeling, a data analysis approach that is appropriate when we have multiple measurements within each of several groups. In that chapter, variation in the data was represented with a between-group sampling model for group-specific means, in addition to a within-group sampling model to represent ...
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Generalized Linear Mixed-Effects Models in R
2003Abstract : The Nonlinear and Linear Mixed-Effects (NLME) package for the open source statistical software system R provides an effective and efficient way to analyze longitudinal data collected from nested groups of subjects when the response of interest is on a continuous scale. It does not provide methods for analyzing binary, multinomial, or ordinal
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Generalized Linear Mixed-Effects Modeling Programs in R for Binary Outcomes
Structural Equation Modeling: A Multidisciplinary Journal, 2018We review, examine the performance, and discuss the relative strengths and weaknesses of various R functions for the estimation of generalized linear mixed-effects models (GLMMs) for binary outcome...
Wooyeol Lee, Kevin J. Grimm
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Two-component mixtures of generalized linear mixed effects models for cluster correlated data
Statistical Modelling, 2005Finite mixtures of generalized linear mixed effect models are presented to handle situations where within-cluster correlation and heterogeneity (subpopulations) exist simultaneously. For this class of model, we consider maximum likelihood (ML) as our main approach to estimation.
Hall, Daniel B., Wang, Lihua
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Train Wheel Rim Degradation Modeling based on Generalized Linear Mixed Effect Model
2019 Prognostics and System Health Management Conference (PHM-Qingdao), 2019The wear of the train wheel rim is one of the main failure mode of railway train wheel, which could be view as a slow degradation process. Degradation modeling of rim is the foundation of remaining useful life prediction and maintenance decision optimization.
Jiayu Zhou +4 more
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Generalized Linear Mixed Effects Model in the Analysis of Longitudinal Discrete Data
2013In many cancer studies and clinical research, repeated observations of response variables are taken over time for each subject in one or more treatment groups. Such research is commonly referred to longitudinal studies and the repeated observations of each vector response are likely to be correlated.
Eunice Carrasquinha +2 more
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Metrika, 2006
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Robust Estimation of General Linear Mixed Effects Models
2022Manuel Koller, Werner A. Stahel
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