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1-4 of 4 results for Author: anders skrondal (sorted by Publication Date, showing all)
  1. Multilevel and Longitudinal Modeling Using Stata, Volumes I and II, Third Edition

    By Sophia Rabe-Hesketh, Anders Skrondal

    This book examines Stata's treatment of generalized linear mixed models, also known as multilevel or hierarchical models. These models are "mixed" because they allow fixed and random effects, and they are "generalized" because they are appropriate for continuous Gaussian responses as well as binary...

    Published April 1st 2012 by Stata Press

  2. Multilevel and Longitudinal Modeling Using Stata, Volume I

    Continuous Responses, Third Edition

    By Sophia Rabe-Hesketh, Anders Skrondal

    Volume I is devoted to continuous Gaussian linear mixed models and has nine chapters. The chapters are organized in four parts. The first part provides a review of the methods of linear regression. The second part provides an in-depth coverage of the two-level models, the simplest extensions of a...

    Published April 1st 2012 by Stata Press

  3. Multilevel and Longitudinal Modeling Using Stata, Volume II

    Categorical Responses, Counts, and Survival, Third Edition

    By Sophia Rabe-Hesketh, Anders Skrondal

    Volume II is devoted to generalized linear mixed models for binary, categorical, count, and survival outcomes. The second volume has seven chapters also organized in four parts. The first three parts in volume II cover models for categorical responses, including binary, ordinal, and nominal (a new...

    Published April 1st 2012 by Stata Press

  4. Generalized Latent Variable Modeling

    Multilevel, Longitudinal, and Structural Equation Models

    By Anders Skrondal, Sophia Rabe-Hesketh

    Series: Chapman & Hall/CRC Interdisciplinary Statistics

    This book unifies and extends latent variable models, including multilevel or generalized linear mixed models, longitudinal or panel models, item response or factor models, latent class or finite mixture models, and structural equation models. Following a gentle introduction to latent variable...

    Published May 10th 2004 by Chapman and Hall/CRC

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