Table of Contents

VOLUME 1: LINEAR MULTILEVEL MODELS: MODEL FORMULATION AND INTERPRETATION
Introduction
Multilevel Analysis - Tom A.B. Snijders
New Statistical Methods for Analyzing Social Structures: An introduction to multilevel models - Lindsay Paterson and Harvey Goldstein
Modeling Multilevel Data Structures - Marco Steenbergen and Bardford Jones
Context, Composition and Heterogeneity: Using multilevel models in health research - Craig Duncan, Kelwyn Jones and Graham Moon
Statistical and Substantive Inferences in Public Health: Issues in the application of multilevel models - Jeffrey B. Bingenheimer and Stephen W. Raudenbush
A Glossary for Multilevel Analysis - A.V. Diez Roux
Models for Longitudinal and Panel Data
Application of Hierarchical Linear Models to Assessing Change - Anthony S. Bryk and Stephen W. Raudenbush
The Design and Analysis of Longitudinal Studies of Development and Psychopathology in Context: Statistical models and methodological recommendations - John B. Willett, Judith D. Singer and Nina C. Martin
Panel Models in Sociological Research: Theory into practice - Charles N. Halaby
The Multilevel Approach to Repeated Measures for Complete and Incomplete Data - Cora J.M. Maas and Tom A.B. Snijders
Multilevel and Related Models for Longitudinal Data - Anders Skrondal and Sophia Rabe-Hesketh
Multilevel Models for Longitudinal Data - Fiona Steele
Higher-level Models
The Analysis of Longitudinal, Multilevel Data - Stephen W. Raudenbush
Big-Fish-Little-Pond Effect on Academic Self-concept - Herbert W. Marsh and Kit-Tai Hau
Between Versus Within Effects, Mean Centering, and Endogeneity
Separation of Individual-level and Cluster-level Covariate Effects in Regression Analysis of Correlated Data - Melissa D. Begg and Michael K. Parides
Causes, Problems and Benefits of Different Between and Within Effects in the Analysis of Clustered Data - Mari Palta and Chris Seplaki
Regressor and Random-effect Dependencies in Multilevel Models - Peter Ebbes, Ulf Böckenholt and Michel Wedel
Variance Explained
Modeled Variance in Two-level Models - Tom A.B. Snijders and Roel J. Bosker
Bayesian Measures of Explained Variance and Pooling in Multilevel (Hierarchical) Models - Andrew Gelman and Iain Pardoe
VOLUME 2: LINEAR MULTILEVEL MODELS: INFERENCE, DIAGNOSTICS AND DESIGN
Parameter Estimation
Estimation Procedures for Hierarchical Linear Models - H. Swaminathan and H.J. Rogers
Introduction to Multilevel Analysis - Jan de Leeuw and Erik Meijer
Assigning Values to Random Effects
Assigning Values to the Random Intercepts - Sophia Rabe-Hesketh and Anders Skrondal
That BLUP is a Good Thing: The estimation of random effects - G.K. Robinson
Model Diagnostics and Robustness
Outliers in Multilevel Data - Ian H. Langford and Toby Lewis
Diagnostic Checks for Multilevel Models - Tom A.B. Snijders and Johannes Berkhof
The Effect of Misspecifying the Random-effects Distribution in Linear Mixed Models for Longitudinal Data - Geert Verbeke and Emmanuel Lesaffre
Robustness of the Linear Mixed Model to Misspecified Error Distribution - Hélène Jacqmin-Gadda, Solenne Sibillot, Cécile Proust, Jean-Michel Molina and Rodolphe Thiébaut
Model Building and Inference
Testing and Model Specification - Tom A.B. Snijders and Roel J. Bosker
Hierarchical Linear Models - Stephen W. Raudenbush and Anthony S. Bryk
Variance Component Testing in Multilevel Models - Johannes Berkhof and Tom A.B. Snijders
Inference and Hierarchical Modelling in the Social Sciences - David Draper
Study Design, Power, and Sample Size
Power and Sample Size in Multilevel Linear Models - Tom A.B. Snijders
Statistical Analysis and Optimal Design for Cluster Randomized Trials - Stephen W. Raudenbush
Design Issues for Experiments in Multilevel Populations - Mirjam Moerbeek, Gerard J.P. van Breukelen and Martijn P.F. Berger
VOLUME 3: MULTILEVEL GENERALIZED LINEAR MODELS
Introduction
Multilevel Modeling of Binary Data - Guong Guo and Hongxin Zhao
Generalized Linear Mixed Models - Donald Hedeker
Generalized Linear Mixed Effects Models - Sophia Rabe-Hesketh and Anders Skrondal
Statistical Methods for Longitudinal and Clustered Designs with Binary Responses - John M. Neuhaus
Limited Dependent Variable Models Using Panel Data - G. S. Maddala
Ordered and Unordered Categorical Responses
A Mixed-effects Regression Model for Three-level Ordinal Response Data - Rema Raman and Donald Hedeker
Multilevel Logistic Regression for Polytomous Responses and Rankings - Anders Skrondal and Sophia Rabe-Hesketh
Hierarchical Models of Paired Comparison Data - Ulf Böckenholt
Survival and Counts
Random-effects Regression Analysis of Correlated Grouped-time Survival Data - Donald Hedeker, Ohidul Siddiqui and Frank Hu
The Random-effects Proportional Hazards Model with Grouped Survival Data: A comparison between the grouped continuous and continuation ratio versions - Leonardo Grilli
Chapter 10 of Hierarchical Linear Models: Applications and data analysis methods - Stephen W. Raudenbush and Anthony S. Bryk
Recent Developments in Count Data Modelling: Theory and application - Rainer Winkelmann and Klaus F. Zimmermann
Model Interpretation
Variance Partitioning in Multilevel Logistic Models that Exhibit Over-dispersion - William J. Browne, S.V. Subramanian, Kelwyn Jones and Harvey Goldstein
Appropriate Assessment of Neighborhood Effects on Individual Health: Integrating random and fixed effects in multilevel logistic regression - Klaus Larsen and Juan Merlo
Equivalence of Conditional and Marginal Regression Models for Clustered and Longitudinal Data - John Ritz and Donna Spiegelman
Estimation and Prediction
Statistical Inference in Generalized Linear Mixed Models: A review - Francis Tuerlinckx, Frank Rijmen, Geert Verbeke and Paul De Boeck
Misspecified Maximum Likelihood Estimates and Generalized Linear Mixed Models - Patrick J. Heagerty and Barbara F. Kurland
Prediction in Multilevel Generalized Linear Models - Anders Skrondal and Sophia Rabe-Hesketh
VOLUME 4: COMPLEX MODELS AND ISSUES
Nonlinear Mixed Models
Nonlinear Models for Repeated Measurement Data: An overview and update - Marie Davidian and David M. Giltinan
Complex Random Part
Heteroscedasticity and Complex Variation - Harvey Goldstein
Multilevel Models with Applications to Repeated Measures Data - Harvey Goldstein, Michael J. R. Healy and Jon Rasbash
Spatial Analysis - A. Leyland
Discrete and Nonnormal Random Effects
Analyzing Developmental Trajectories: A semiparametric, group-based approach - Daniel S. Nagin
Latent Class and Finite Mixture Models for Multilevel Data Sets - Jeroen K. Vermunt
A General Maximum Likelihood Analysis of Variance Components in Generalized Linear Models - Murray Aitkin
Multivariate Multilevel Models
Multilevel Analysis - J. Hox
Crossed Random Effects and Multiple Membership Models
A Crossed Random Effects Model for Unbalanced Data with Applications in Cross-sectional and Longitudinal Research - Stephen W. Raudenbush
Multiple Membership Multiple Classification (MMMC) Models - William J. Browne, Harvey Goldstein and Jon Rasbash
Resampling and Multiple Imputation
A Novel Bootstrap Procedure for Assessing the Relationship Between Class Size and Achievement - James R. Carpenter, Harvey Goldstein and Jon Rasbash
Multilevel Analysis of Messy Data - N.T. Longford
Multilevel Models with Latent Variables
Ecometrics: Toward a Science of Assessing Ecological Settings, with Application to the Systematic Social Observations of Neighborhoods - Stephen W. Raudenbush and Robert J. Sampson
Generalized Multilevel Structural Equation Modeling - Sophia Rabe-Hesketh, Anders Skrondal and Andrew Pickles
Multilevel Models for Complex Survey Data
Multilevel Modeling of Complex Survey Data - Sophia Rabe-Hesketh and Anders Skrondal
Mixed Responses or Multiple Process Models
Model-based Approaches to Analyzing Incomplete Repeated Measures and Failure Time Data - Joseph W. Hogan and Nan M. Laird
The Effect of Physician Advice on Alcohol Consumption: Count data regression with an endogenous treatment effect - Donald S. Kenkel and Joseph V. Terza
Simultaneous Equations for Hazards-marriage Duration and Fertility Timing - Lee A. Lillard