Abstract: Notes on Contributors Preface Multilevel Modeling - Jeffrey S Simonoff, Marc A Scott and Brian D Marx PART ONE: MULTILEVEL MODEL SPECIFICATION AND INFERENCE The Multilevel Model Framework - Jeff Gill and Andrew Womack Multilevel Model Notation - Establishing the Commonalities - Marc A Scott, Patrick E Shrout and Sharon L Weinberg Likelihood Estimation in Multilevel Models - Harvey Goldstein Bayesian Multilevel Models - Ludwig Fahrmeir, Thomas Kneib, and Stefan Lang The Choice between Fixed and Random Effects - Zac Townsend,Jack Buckley, Masataka Harada and Marc A Scott Centering Predictors and Contextual Effects - Craig K Enders Model Selection for Multilevel Models - Russell Steele Generalized Linear Mixed Models - Overview - Geert Verbeke and Geert Molenberghs Longitudinal Data Modeling - Nan M Laird and Garrett M Fitzmaurice Complexities in Error Structures Within Individuals - Vicente Nunez-Anton and Dale L Zimmerman Design Considerations in Multilevel Studies - Gerard van Breukelen and Mirjam Moerbeek Multilevel Models and Causal Inference - Jennifer Hill PART TWO: VARIATIONS AND EXTENSIONS OF THE MULTILEVEL MODEL Multilevel Functional Data Analysis - Ciprian M Crainiceanu, Brian S Caffo and Jeffrey S Morris Nonlinear Models - Lang Wu and Wei Liu Generalized Linear Mixed Models: Estimation and Inference - Charles E McCulloch and John M Neuhaus Categorical Response Data - Jeroen Vermunt Smoothing and Semiparametric Models - Jin-Ting Zhang Penalized Splines and Multilevel Models - Goran Kauermann and Torben Kuhlenkasper Hierarchical Dynamic Models - Marina Silva Paez and Dani Gamerman Mixture and Latent Class Models in Longitudinal and Other Settings - Ryan P Browne and Paul D McNicholas Multivariate Response Data - Helena Geys and Christel Faes PART THREE: PRACTICAL CONSIDERATIONS IN MODEL FIT AND SPECIFICATION Robust Methods for Multilevel Analysis - Joop Hox and Rens van de Schoot Missing Data - Geert Molenberghs and Geert Verbeke Lack of Fit, Graphics, and Multilevel Model Diagnostics - Gerda Claeskens Multilevel Models: Is GEE a Robust Alternative in the Presence of Binary Endogenous Regressors? - Robert Crouchley Software for Fitting Multilevel Models - Andrzej T Galecki and Brady T West PART FOUR: SELECTED APPLICATIONS Meta-Analysis - Larry V Hedges and Kimberly S Maier Modeling Policy Adoption and Impact with Multilevel Methods - James E Monogan III Multilevel Models in the Social and Behavioral Sciences - David Rindskopf Survival Analysis and the Frailty Model: The effect of education on survival and disability for older men in England and Wales - Ardo van den Hout and Brian D M Tom Point-Referenced Spatial Modeling - Andrew O Finley and Sudipto Banerjee Market Research and Preference Data - Adam Sagan Multilevel Modeling for Scoial Networks and Relational Data - Marijtje A J Van Duijn Name Index Subject Index
Publication Year: 2013
Publication Date: 2013-01-01
Language: en
Type: book
Indexed In: ['crossref']
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Cited By Count: 91
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