This refereed volume includes papers presented at a conference on modelling longitudinal and spatially correlated data. Many of the best researchers in the world have presented papers in an area with important applications to biostatistics and the environmental sciences.

Generalized Linear Models.- Linear Models, Vector Spaces, and Residual Likelihood.- An Assessment of Approximate Maximum Likelihood Estimators in Generalized Linear Models.- Scaled Link Functions for Heterogeneous Ordinal Response Data.- Longitudinal Data Analysis.- Software Design for Longitudinal Data Analysis.- Asymptotic Properties of Nonlinear Mized—Effects Models.- Structured Antedependence Models for Longitudinal Data.- Effect of Confounding and Other Misspecification in Models for Longitudinal Data.- The Linear Mixed Model. A Critical Investigation in the Context of Longitudinal Data.- Modelling the Order of Disability Events in Activities of Daily Living Using Discrete Longitudinal Data.- Estimation of Subject Means in Fixed and Mixed Models with Application to Longitudinal Data.- Modeling Toxicological Multivariate Mortality Data: a Bayesian Perspective.- Comparison of Methods for General Nonlinear Mixed-Effects Models.- Repeated Measures Analysis Using Mixed Models: Some Simulation Results.- Spatial Data Analysis.- Object Identification Using Markov Random Field Segmentation Models at Multiple Resolutions of a Rectangular Lattice.- Comparison of Some Sampling Designs for Spatially Clustered Populations.- Using Geostatistical Techniques to Map the Distribution of Tree Species from Ground Inventory Data.- Global Analysis of Ozone Data Based on Spherical Splines.- Bounded Influence Estimation in a Spatial Linear Mixed Model.- Spatial Correlation Models as Applied to Evolutionary Biology.- Rainfall Modelling Using a Latent Guassian Variable.- Estimation of Individual Exposure Following a Chemical Spill in Superior, Wisconsin.- Flexible Response Surface Methods via Spatial Regression and EBLUPS.- Robust Semivariogram Estimation in the Presence of InfluentialSpatial Data Values.- Modelling Spatio-Temporal Processes.- Elephant Seal Movements: Dive Types and Their Sequences.- Models for Continuous Stationary Space-time Processes.- A Comparison of Two Spatio-temporal Semivariograms with Use in Agriculture.- Structuring Correlation Within Hierarchical Spatio-temporal Models for Disease Rates.- Modelling Messy Data.- Generalized Linear Mixed Measurement Error Models:.- Calculating the Appropriate Information Matrix for Log-linear Models When Data Are Missing at Random.- Nonparametric Regression in the Presence of Correlated Errors.- Exploratory Modelling of Multiple Non-Stationary Time Series: Latent Process Structure and Decompositions.- Modelling Correlations Between Diagnostic Tests in Efficacy Studies With an Imperfect Reference Test.- Special Topics and Future Directions.- Combining Standard Block Analyses with Spatial Analyses Under a Random Effects Model.- Spatial and Longitudinal Data Analysis: Two Histories with a Common Future?.