Topics in Modelling of Clustered Data

By Marc Aerts, H. Geys, Geert Molenberghs, L. Ryan. 2002

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Estimation of Models in a Rasch Family for Polytomous Items and Multiple Latent Variables (2007, methodology): “Furthermore, we use results from Geys (Geys 1999; Geys et al. 1999; Aerts, Geys, Molenberghs, and Ryan 2002) to show that the resulting parameter estimates are asymptotically normal and consistent, provide robust standard errors, and permit statistical tests for the model parameters.”
A Family of Generalized Linear Models for Repeated Measures With Normal and Conjugate Random Effects (pp.188) (2010, methodology): “In the same spirit, pseudo-likelihood can be used (Aerts et al., 2002; Molenberghs and Verbeke, 2005).”
Random Effects Models for Longitudinal Data (2010, background): “We refer to Henderson et al. (1959), Harville (1974, 1976, 1977), Laird and Ware (1982), Verbeke and Molenberghs (2000), and Fitzmaurice, Laird, and Ware (2004) for more details about estimation and inference in linear mixed models.”
Likelihood Ratio, Score, and Wald Tests in a Constrained Parameter Space (2007, background): “This developmental toxicity study investigates the doseresponse relationship in mice of the potentially hazardous chemical compound ethylene glycol (EG; Price et al. 1985, Aerts et al. 2002).”