BookYu-Kang Tu, Darren C. Greenwood, editors.
Contents:
Confounding and causal path diagrams
Statistical modelling of partially observed data using multiple imputation: principles and practice
Measurement errors in epidemiology
Selection bias in epidemiologic studies
Multilevel modelling
Modelling data that exhibit an excess number of zeros : zero-inflated models and generic mixture models
Multilevel latent class modelling
Bayesian bivariate disease mapping
Multivariate random fraility effects model for multiple spatially dependent survival data
Meta-analysis of observational studies
Directed acyclic graphs and structural equation modelling
Latent growth curve models
Growth mixture modelling for life course epidemiology
G-estimation for accelerated failure time models
Generalised additive models
Regression and classification trees
Statistical interactions and gene-environment joint effects.