We explore the effects of measurement error in a time-varying covariate for a mixed model applied to a longitudinal study of plasma levels and dietary intake of beta-carotene. We derive a simple expression for the bias of large sample estimates of the variance of random effects in a longitudinal mod
✦ LIBER ✦
EM-REML estimation of covariance parameters in Gaussian mixed models for longitudinal data analysis
✍ Scribed by Jean-Louis Foulley; Florence Jaffrézic; Christèle Robert-Granié
- Book ID
- 114998055
- Publisher
- BioMed Central
- Year
- 2000
- Tongue
- French
- Weight
- 391 KB
- Volume
- 32
- Category
- Article
- ISSN
- 0999-193X
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Liang and Zeger introduced a class of estimating equations that gives consistent estimates of regression parameters and of their variances in the class of generalized linear models for longitudinal data. When the response variable in such models is subject to overdispersion, the oerdispersion parame