Includes bibliographical references and index.

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.