Chapter01    Introduction to MCMC Estimation and Bayesian Modelling
Chapter02    Single Level Normal Response Modelling
Chapter03    Variance Components Models
Chapter04    Other Features of Variance Components Models
Chapter05    Prior Distributions, Starting Values and Random Number Seeds
Chapter06    Random Slopes Regression Models
Chapter07    Using the WinBUGS Interface in MLwiN
Chapter08    Running a Simulation Study in MLwiN
Chapter09    Modelling Complex Variance at Level 1 / Heteroscedasticity
Chapter10   Modelling Binary Responses
Chapter11   Poisson Response Modelling
Chapter12   Unordered Categorical Responses
Chapter13   Ordered Categorical Responses
Chapter14   Adjusting for Measurement Errors in Predictor Variables
Chapter15   Cross Classified Models
Chapter16   Multiple Membership Models
Chapter17   Modelling Spatial Data
Chapter18   Multivariate Normal Response Models and Missing Data
Chapter19   Mixed Response Models and Correlated Residuals
Chapter20   Multilevel Factor Analysis Modelling
Chapter21   Using Structured MCMC
Chapter22   Using the Structured MVN framework for models
Chapter23   Using Orthogonal fixed effect vectors
Chapter24   Parameter expansion
Chapter25   Hierarchical Centring
