Modelling Longitudinal and Spatially Correlated Data

Table of Contents

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   Book Overview
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   Chapter 1 Linear Models, Vector Spaces, and Residual Likelihood
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   Chapter 2 An Assessment of Approximate Maximum Likelihood Estimators in Generalized Linear Mixed Models
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   Chapter 3 Scaled Link Functions for Heterogeneous Ordinal Response Data*
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   Chapter 4 Software Design for Longitudinal Data Analysis
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   Chapter 5 Asymptotic Properties of Nonlinear Mixed-Effects Models
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   Chapter 6 Structured Antedependence Models for Longitudinal Data
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   Chapter 7 Effect of Confounding and Other Misspecification in Models for Longitudinal Data
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   Chapter 8 The Linear Mixed Model. A Critical Investigation in the Context of Longitudinal Data
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    Chapter 9 Modeling the Order of Disability Events in Activities of Daily Living Using Discrete Longitudinal Data
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    Chapter 10 Estimation of Subject Means in Fixed and Mixed Models with Application to Longitudinal Data
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    Chapter 11 Modeling Toxicological Multivariate Mortality Data: a Bayesian Perspective
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    Chapter 12 Comparison of Methods for General Nonlinear Mixed-Effects Models
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    Chapter 13 Repeated Measures Analysis Using Mixed Models: Some Simulation Results
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    Chapter 14 Object Identification Using Markov Random Field Segmentation Models at Multiple Resolutions of a Rectangular Lattice
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    Chapter 15 Comparison of Some Sampling Designs for Spatially Clustered Populations
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    Chapter 16 Using Geostatistical Techniques to Map The Distribution of Tree Species From Ground Inventory Data
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    Chapter 17 Global Analysis of Ozone Data Based on Spherical Splines
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    Chapter 18 Bounded Influence Estimation in a Spatial Linear Mixed Model
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    Chapter 19 Spatial Correlation Models as Applied to Evolutionary Biology
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    Chapter 20 Rainfall Modelling Using a Latent Gaussian Variable
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    Chapter 21 Estimation of Individual Exposure Following a Chemical Spill in Superior, Wisconsin
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    Chapter 22 Flexible Response Surface Methods via Spatial Regression and Eblups
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    Chapter 23 Robust Semivariogram Estimation in the Presence of Influential Spatial Data Values
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    Chapter 24 Elephant Seal Movements: Dive Types and Their Sequences
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    Chapter 25 Models for Continuous Stationary Space-Time Processes
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    Chapter 26 A Comparison of Two Spatio-temporal Semivariograms with Use in Agriculture
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    Chapter 27 Structuring Correlation within Hierarchical Spatio-temporal Models for Disease Rates
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    Chapter 28 Generalized Linear Mixed Measurement Error Models
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    Chapter 29 Calculating the Appropriate Information Matrix for Log-linear Models When Data Are Missing at Random
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    Chapter 30 Nonparametric Regression in the Presence of Correlated Errors
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    Chapter 31 Exploratory Modelling of Multiple Non-Stationary Time Series: Latent Process Structure and Decompositions
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    Chapter 32 Modeling Correlations Between Diagnostic Tests in Efficacy Studies with an Imperfect Reference Test
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    Chapter 33 Combining Standard Block Analyses With Spatial Analyses Under a Random Effects Model
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    Chapter 34 Spatial and Longitudinal Data Analysis: Two Histories with a Common Future?