Herwig Friedl and Göran Kauermann:
Editorial:
Mixed Models
Geert Molenberghs and Geert Verbeke:
A
review on linear mixed models
for longitudinal data, possibly subject to dropout
R Crouchley and R B Davies:
A
comparison of
GEE and random effects models for distinguishing heterogeneity, nonstationarity
and state dependence in a collection of short binary event series
Murray Aitkin:
Likelihood
and Bayesian analysis of mixtures
Dimitris Karlis:
A general
EM approach for maximum likelihood estimation in mixed Poisson regression
models
René Ecochard and David G Clayton:
Fitting
complex
random effect models with standard software using data augmentation:
application to a study of male and female fecundibility
James G Booth, James P Hobert and Wolfgang Jank:
A
survey of Monte
Carlo algorithms for maximizing the likelihood of a two-stage hierarchical
model