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Marginal Models Book

Marginal Models
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Marginal Models, Marginal Models for Dependent, Clustered, and Longitudinal Categorical Data provides a comprehensive overview of the basic principles of marginal modeling and offers a wide range of possible applications. Marginal models are often the best choice for answ, Marginal Models
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  • Marginal Models
  • Written by author Springer
  • Published by Springer-Verlag New York, LLC, 11/29/2010
  • Marginal Models for Dependent, Clustered, and Longitudinal Categorical Data provides a comprehensive overview of the basic principles of marginal modeling and offers a wide range of possible applications. Marginal models are often the best choice for answ
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Book Categories

Authors

Introduction.- Loglinear marginal models.- Nonloglinear marginal models.- Marginal analysis of longitudinal data.- Causal analysis: structural equation models and (quasi-)experimental designs.- Marginal modeling with latent variables.- Conclusions, extensions, applications.


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Marginal Models, Marginal Models for Dependent, Clustered, and Longitudinal Categorical Data provides a comprehensive overview of the basic principles of marginal modeling and offers a wide range of possible applications. Marginal models are often the best choice for answ, Marginal Models

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Marginal Models, Marginal Models for Dependent, Clustered, and Longitudinal Categorical Data provides a comprehensive overview of the basic principles of marginal modeling and offers a wide range of possible applications. Marginal models are often the best choice for answ, Marginal Models

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Marginal Models, Marginal Models for Dependent, Clustered, and Longitudinal Categorical Data provides a comprehensive overview of the basic principles of marginal modeling and offers a wide range of possible applications. Marginal models are often the best choice for answ, Marginal Models

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