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Modelling Longitudinal and Spatially Correlated Data : Lecture Notes in Statistics - Timothy G. Gregoire

Modelling Longitudinal and Spatially Correlated Data

Lecture Notes in Statistics


Published: 29th May 1997
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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.

Linear Models, Vector Spaces, and Residual Likelihoodp. 1
An Assessment of Approximate Maximum Likelihood Estimators in Generalized Linear Modelsp. 11
Scaled Link Functions for Heterogeneous Ordinal Response Datap. 23
Software Design for Longitudinal Data Analysisp. 37
Asymptotic Properties of Nonlinear Mized-Effects Modelsp. 49
Structured Antedependence Models for Longitudinal Datap. 63
Effect of Confounding and Other Misspecification in Models for Longitudinal Datap. 77
The Linear Mixed Model. A Critical Investigation in the Context of Longitudinal Datap. 89
Modelling the Order of Disability Events in Activities of Daily Living Using Discrete Longitudinal Datap. 101
Estimation of Subject Means in Fixed and Mixed Models with Application to Longitudinal Datap. 111
Modeling Toxicological Multivariate Mortality Data: a Bayesian Perspectivep. 123
Comparison of Methods for General Nonlinear Mixed-Effects Modelsp. 135
Repeated Measures Analysis Using Mixed Models: Some Simulation Resultsp. 147
Object Identification Using Markov Random Field Segmentation Models at Multiple Resolutions of a Rectangular Latticep. 159
Comparison of Some Sampling Designs for Spatially Clustered Populationsp. 175
Using Geostatistical Techniques to Map the Distribution of Tree Species from Ground Inventory Datap. 187
Global Analysis of Ozone Data Based on Spherical Splinesp. 199
Bounded Influence Estimation in a Spatial Linear Mixed Modelp. 211
Spatial Correlation Models as Applied to Evolutionary Biologyp. 221
Rainfall Modelling Using a Latent Guassian Variablep. 233
Estimation of Individual Exposure Following a Chemical Spill in Superior, Wisconsinp. 243
Flexible Response Surface Methods via Spatial Regression and EBLUPSp. 255
Robust Semivariogram Estimation in the Presence of Influential Spatial Data Valuesp. 265
Elephant Seal Movements: Dive Types and Their Sequencesp. 275
Models for Continuous Stationary Space-time Processesp. 289
A Comparison of Two Spatio-temporal Semivariograms with Use in Agriculturep. 299
Structuring Correlation Within Hierarchical Spatio-temporal Models for Disease Ratesp. 309
Generalized Linear Mixed Measurement Error Modelsp. 321
Calculating the Appropriate Information Matrix for Log-linear Models When Data Are Missing at Randomp. 331
Nonparametric Regression in the Presence of Correlated Errorsp. 339
Exploratory Modelling of Multiple Non-Stationary Time Series: Latent Process Structure and Decompositionsp. 349
Modelling Correlations Between Diagnostic Tests in Efficacy Studies With an Imperfect Reference Testp. 363
Combining Standard Block Analyses with Spatial Analyses Under a Random Effects Modelp. 373
Spatial and Longitudinal Data Analysis: Two Histories with a Common Future?p. 387
Table of Contents provided by Blackwell. All Rights Reserved.

ISBN: 9780387982168
ISBN-10: 0387982167
Series: Lecture Notes in Statistics
Audience: General
Format: Paperback
Language: English
Number Of Pages: 402
Published: 29th May 1997
Publisher: Springer-Verlag New York Inc.
Country of Publication: DE
Dimensions (cm): 23.39 x 15.6  x 2.18
Weight (kg): 0.59