Flexible modelling of the covariance matrix in a linear random effects model
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Summary
A flexible approach is proposed for modelling the covariance matrix of a linear mixed model for longitudinal data and on the evolution of height of children in their first year of life of the Jimma Infant Survival Study, an Ethiopian cohort study.
- Type
- article
- Published
- 2000-11-01
- Cited by
- 20
- References
- 16
- OpenAlex
- https://openalex.org/W2040713875
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:121101188
Keywords
Random effects model, Generalized linear mixed model, Covariance, Mixed model, Covariance matrix
References
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- Two Graphical Techniques Useful in Detecting Correlation Structure in Repeated Measures Data
- Variance components testing in the longitudinal mixed effects model.
- NONLINEAR MODELS FOR REPEATED MEASUREMENT DATA.
- Nonparametric estimation of covariance structure in longitudinal data.
- Random-effects models for longitudinal data.
- The Practical Use of Different Strategies to Handle Dropout in Longitudinal Studies
- Model-based geostatistics. Discussion. Authors' reply
Cited by
- Random coeffcient models for complex longitudinal data
- A sensitivity approach to modeling longitudinal bivariate ordered data subject to informative dropouts
- Statistical analysis of test-day milk yields using random regression models for the comparison of feeding groups during the lactation period
- Using the SPSS Mixed Procedure to Fit Cross-Sectional and Longitudinal Multilevel Models
- A review on linear mixed models for longitudinal data, possibly subject to dropout
- Character process model for semen volume in AI rams: evaluation of correlation structures for long and short-term environmental effects
- A comparison of methods for estimating the random effects distribution of a linear mixed model
- Estimating Correlation Coefficient between Two Variables with Repeated Observations using Mixed Effects Model
- Flexible estimation of serial correlation in nonlinear mixed models
- Latent‐variable models for longitudinal data with bivariate ordinal outcomes
- Statistical modeling for growth data in linear mixed models - Implications derived from an example of a population comparison of Golden Hamsters
- Some consequences of assuming simple patterns for the treatment effect over time in a linear mixed model
- A BIBLIOGRAPHY ON VARIANCE COMPONENTS AN INTRODUCTION AND AN UPDATE: 1984-2002
- Genetic analysis and models for semen production and artificial insemination result in sheep
- Flexible Modeling Tools for Continuous Longitudinal Data
- Flexible modelling of serial correlation in GLMM
- Bayesian model selection in linear mixed models for longitudinal data
- Model selection for Bayesian linear mixed models with longitudinal data: Sensitivity to the choice of priors
- Evaluation and prediction of individual growth trajectories
- LiMMCov: An interactive research tool for efficiently selecting covariance structures in linear mixed models using insights from time series analysis
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