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