Gregoire T.G., Brillinger D.R., Diggle P.J., Russek-Cohen E., Warren W.G., Wolfinger R.D. (eds.) Modelling Longitudinal and Spatially Correlated Data

New York: Springer, 1997. — 403 p.Correlated data arise in numerous contexts across a wide spectrum of subject-matter disciplines. Modeling such data present special challenges and opportunities that have received increasing scrutiny by the statistical community in recent years. In October 1996 a group of 210 statisticians and other scientists assembled on the small island of Nantucket, U. S. A. , to present and discuss new developments relating to Modelling Longitudinal and Spatially Correlated Data: Methods, Applications, and Future Direc­ tions. Its purpose was to provide a cross-disciplinary forum to explore the commonalities and meaningful differences in the source and treatment of such data. This volume is a compilation of some of the important invited and volunteered presentations made during that conference. The three days and evenings of oral and displayed presentations were arranged into six broad thematic areas. The session themes, the invited speakers and the topics they addressed were as follows:
Generalized Linear Models: Peter McCullagh-"Residual Likelihood in Linear and Generalized Linear Models"
Longitudinal Data Analysis: Nan Laird-"Using the General Linear Mixed Model to Analyze Unbalanced Repeated Measures and Longi­ tudinal Data"
Spatio---Temporal Processes: David R. Brillinger-"Statistical Analy­ sis of the Tracks of Moving Particles"
Spatial Data Analysis: Noel A. Cressie-"Statistical Models for Lat­ tice Data"
Modelling Messy Data: Raymond J. Carroll-"Some Results on Gen­ eralized Linear Mixed Models with Measurement Error in Covariates"
Future Directions: Peter J. DiggleLinear Models, Vector Spaces, and Residual Likelihood
An Assessment of Approximate Maximum Likelihood Estimators in Generalized Linear Mixed Models
Scaled Link Functions for Heterogeneous Ordinal Response Data
Software Design for Longitudinal Data Analysis
Asymptotic Properties of Nonlinear Mixed-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
Modeling 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
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 Gaussian 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 Influential Spatial Data Values
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
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
Modeling Correlations Between Diagnostic Tests in Efficacy Studies with an Imperfect Reference Test
Combining Standard Block Analyses With Spatial Analyses Under a Random Effects Model
Spatial and Longitudinal Data Analysis: Two Histories with a Common Future?