Power analysis of trials with multilevel data, Moerbeek, Mirjam Teerenstra, Steven

Автор: Leyland
Название: Multilevel Modelling for Public Health and Health Services Research
ISBN: 3030347990 ISBN-13(EAN): 9783030347994
Издательство: Springer
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Цена: 46570.00 T
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Описание: Part I: Theoretical, conceptual and methodological background.- Chapter 1: Introduction.- Chapter 2: Health in context.- Chapter 3: What is multilevel modelling?.- Chapter 4: Multilevel data structures.- Part II: Statistical background.- Chapter 5: Graphs and equations.- Chapter 6: Apportioning variation in multilevel models.- Part III: The modelling process and presentation of research.- Chapter 7: Context, composition and how their influences vary.- Chapter 8: Ecometrics: Using MLA to construct contextual variables from individual data.- Chapter 9: Modelling strategies.- Chapter 10: Reading and writing.- Part IV: Tutorials with example datasets.- Chapter 11: Multilevel linear regression using MLwiN: Mortality in England and Wales, 1979-1992.- Chapter 12. Multilevel logistic regression using MLwiN: Referrals to physiotherapy.- Chapter 13. Untangling context and composition using MLwiN: Incidence of cardiovascular disease in small areas in Scotland.

Автор: Silva, Bruno Castanho
Название: Multilevel structural equation modeling
ISBN: 1544323050 ISBN-13(EAN): 9781544323053
Издательство: Sage Publications
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Цена: 39060.00 T
Наличие на складе: Поставка под заказ.
Описание: Multilevel Structural Equation Modeling by Bruno Castanho Silva, Constantin Manuel Bosancianu, and Levente Littvay serves as a minimally technical overview of multilevel structural equation modeling (MSEM) for applied researchers and advanced graduate students in the social sciences. As the first book of its kind, this title is an accessible, hands-on introduction for beginners of the topic. The authors predict a growth in this area, fueled by both data availability and also the availability of new and improved software to run these models. The applied approach, combined with a graphical presentation style and minimal reliance on complex matrix algebra guarantee that this volume will be useful to social science graduate students wanting to utilize such models.

Автор: Jan Deleeuw; H. Goldstein; Erik Meijer
Название: Handbook of Multilevel Analysis
ISBN: 1441925120 ISBN-13(EAN): 9781441925121
Издательство: Springer
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Цена: 181670.00 T
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Описание: This book presents the state of the art in multilevel analysis, with an emphasis on more advanced topics. These topics are discussed conceptually, analyzed mathematically, and illustrated by empirical examples.

Автор: Hox, Joop J. Moerbeek, Mirjam
Название: Multilevel analysis
ISBN: 1138121401 ISBN-13(EAN): 9781138121409
Издательство: Taylor&Francis
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Цена: 168430.00 T
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Описание:

Applauded for its clarity, this accessible introduction helps readers apply multilevel techniques to their research. The book also includes advanced extensions, making it useful as both an introduction for students and as a reference for researchers. Basic models and examples are discussed in nontechnical terms with an emphasis on understanding the methodological and statistical issues involved in using these models. The estimation and interpretation of multilevel models is demonstrated using realistic examples from various disciplines including psychology, education, public health, and sociology. Readers are introduced to a general framework on multilevel modeling which covers both observed and latent variables in the same model, while most other books focus on observed variables. In addition, Bayesian estimation is introduced and applied using accessible software.

Автор: Hox
Название: Multilevel Analysis
ISBN: 1138121363 ISBN-13(EAN): 9781138121362
Издательство: Taylor&Francis
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Цена: 59190.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

Applauded for its clarity, this accessible introduction helps readers apply multilevel techniques to their research. The book also includes advanced extensions, making it useful as both an introduction for students and as a reference for researchers. Basic models and examples are discussed in nontechnical terms with an emphasis on understanding the methodological and statistical issues involved in using these models. The estimation and interpretation of multilevel models is demonstrated using realistic examples from various disciplines including psychology, education, public health, and sociology. Readers are introduced to a general framework on multilevel modeling which covers both observed and latent variables in the same model, while most other books focus on observed variables. In addition, Bayesian estimation is introduced and applied using accessible software.

Автор: Snijders Tom
Название: Multilevel Analysis
ISBN: 184920201X ISBN-13(EAN): 9781849202015
Издательство: Sage Publications
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Цена: 58080.00 T
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Описание: The classic text in multilevel analysis, dealing with everything you need to know, has been hugely revised and added to and is supported by all the software. A must-have for modellers.

Автор: Little Todd D., Schnabel Kai U., Baumert Jrgen
Название: Modeling Longitudinal and Multilevel Data: Practical Issues, Applied Approaches, and Specific Examples
ISBN: 113801253X ISBN-13(EAN): 9781138012530
Издательство: Taylor&Francis
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Цена: 57150.00 T
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Описание: Experts on handling longitudinal & multiple-group data contribute various, practical, analytic approaches including SEM,LTA,GLM, and multi-level techniques.Includes helpful tips, applications and examples. Grad students & researchers in social & behavior

Автор: Heck, Ronald , Thomas, Scott L.
Название: An Introduction to Multilevel Modeling Techniques
ISBN: 0367182424 ISBN-13(EAN): 9780367182427
Издательство: Taylor&Francis
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Цена: 178640.00 T
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Описание: This text offers a comprehensive treatment of multilevel models for univariate and multivariate outcomes.

Автор: Giorgos Michel
Название: Multilevel Statistical Models
ISBN: 1681174464 ISBN-13(EAN): 9781681174464
Издательство: Gazelle Book Services
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Цена: 217350.00 T
Наличие на складе: Невозможна поставка.
Описание: Through the social, medical and other sciences the importance of understanding complex hierarchical data structures is well understood. Multilevel modelling is now the accepted statistical technique for handling such data and is widely available in computer software packages. A thorough understanding of these techniques is therefore important for all those working in these areas. Multilevel models (also hierarchical linear models, nested models, mixed models, random coefficient, random-effects models, random parameter models, or split-plot designs) are statistical models of parameters that vary at more than one level. An example could be a model of student performance that contains measures for individual students as well as measures for classrooms within which the students are grouped. These models can be seen as generalizations of linear models (in particular, linear regression), although they can also extend to non-linear models. These models became much more popular after sufficient computing power and software became available. Multilevel models are particularly appropriate for research designs where data for participants are organized at more than one level (i.e., nested data). Multilevel models can be used on data with many levels, although 2-level models are the most common and the rest of this article deals only with these. The dependent variable must be examined at the lowest level of analysis. The book Multilevel Statistical Models brings these techniques together, starting from basic ideas and illustrating how more complex models are derived. This book is a comprehensive tool for postgraduate courses. This book will be beneficial for applied statisticians in the social sciences, economics, biological and medical disciplines.

Автор: Finch, W. Holmes , Bolin, Jocelyn E. , Kelley, K
Название: Multilevel Modeling Using R
ISBN: 1138480711 ISBN-13(EAN): 9781138480711
Издательство: Taylor&Francis
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Цена: 132710.00 T
Наличие на складе: Нет в наличии.
Описание: This book focuses on presenting the theory and practice of major multilevel modelling techniques in a variety of contexts, using R as the software tool, and demonstrating the various functions available for these analyses in R.

Автор: Finch W. Holmes, Bolin Jocelyn E., Kelley Ken
Название: Multilevel Modeling Using R
ISBN: 1138480673 ISBN-13(EAN): 9781138480674
Издательство: Taylor&Francis
Рейтинг:
Цена: 60220.00 T
Наличие на складе: Невозможна поставка.
Описание: This book focuses on presenting the theory and practice of major multilevel modelling techniques in a variety of contexts, using R as the software tool, and demonstrating the various functions available for these analyses in R.