Longitudinal Data Analysis

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9780471420279: Longitudinal Data Analysis

Longitudinal data analysis for biomedical and behavioral sciences

This innovative book sets forth and describes methods for the analysis of longitudinaldata, emphasizing applications to problems in the biomedical and behavioral sciences. Reflecting the growing importance and use of longitudinal data across many areas of research, the text is designed to help users of statistics better analyze and understand this type of data.

Much of the material from the book grew out of a course taught by Dr. Hedeker on longitudinal data analysis. The material is, therefore, thoroughly classroom tested and includes a number of features designed to help readers better understand and apply the material. Statistical procedures featured within the text include:
* Repeated measures analysis of variance
* Multivariate analysis of variance for repeated measures
* Random-effects regression models (RRM)
* Covariance-pattern models
* Generalized-estimating equations (GEE) models
* Generalizations of RRM and GEE for categorical outcomes

Practical in their approach, the authors emphasize the applications of the methods, using real-world examples for illustration. Some syntax examples are provided, although the authors do not generally focus on software in this book. Several datasets and computer syntax examples are posted on this title's companion Web site. The authors intend to keep the syntax examples current as new versions of the software programs emerge.

This text is designed for both undergraduate and graduate courses in longitudinal data analysis. Instructors can take advantage of overheads and additional course materials available online for adopters. Applied statisticians in biomedicine and the social sciences can also use the book as a convenient reference.

"Sinopsis" puede pertenecer a otra edición de este libro.

About the Author:

DONALD HEDEKER, PHD, is Professor of Biostatistics in the Division of Epidemiology and Biostatistics, School of Public Health at the University of Illinois at Chicago. He is a Fellow of the American Statistical Association and the author of numerous peer-reviewed papers.

ROBERT D. GIBBONS, PHD, is Director of the Center for Health Statistics; Professor of Biostatistics in the Division of Epidemiology and Biostatistics, School of Public Health; and Professor of Psychiatry in the College of Medicine, all at the University of Illinois at Chicago. He is a Fellow of the American Statistical Association and the author of numerous peer-reviewed papers.

Review:

"...a useful resource for students and mathematically inclined practitioners...I would not hesitate to recommend this book..." (Journal of the American Statistical Association, September 2007)

"Comparing this book with...other books on this subject...this is certainly one of the foremost." (Journal of Biopharmaceutical Statistics, Vol. 17, Issue 3, 2007)

"...this book represents a unique and important contribution to the field of psychology." (PsycCRITIQUES, March 14, 2007)

"This innovative classroom-tested book is...highly recommended." (CHOICE, October 2006)

"Sobre este título" puede pertenecer a otra edición de este libro.

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Donald Hedeker (University of Illinois, Chicago, IL ); Robert D. Gibbons (University of Illinois, Chicago, IL )
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Hedeker, Donald, Gibbons, Robert D.
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Donald Hedeker, Robert D. Gibbons
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Descripción John Wiley and Sons Ltd, United States, 2006. Hardback. Estado de conservación: New. 1. Auflage. Language: English . Brand New Book. Longitudinal data analysis for biomedical and behavioral sciences This innovative book sets forth and describes methods for the analysis of longitudinaldata, emphasizing applications to problems in the biomedical and behavioral sciences. Reflecting the growing importance and use of longitudinal data across many areas of research, the text is designed to help users of statistics better analyze and understand this type of data. Much of the material from the book grew out of a course taught by Dr. Hedeker on longitudinal data analysis. The material is, therefore, thoroughly classroom tested and includes a number of features designed to help readers better understand and apply the material. Statistical procedures featured within the text include: Repeated measures analysis of variance Multivariate analysis of variance for repeated measures Random-effects regression models (RRM) Covariance-pattern models Generalized-estimating equations (GEE) models Generalizations of RRM and GEE for categorical outcomes Practical in their approach, the authors emphasize the applications of the methods, using real-world examples for illustration.Some syntax examples are provided, although the authors do not generally focus on software in this book. Several datasets and computer syntax examples are posted on this title s companion Web site. The authors intend to keep the syntax examples current as new versions of the software programs emerge. This text is designed for both undergraduate and graduate courses in longitudinal data analysis. Instructors can take advantage of overheads and additional course materials available online for adopters. Applied statisticians in biomedicine and the social sciences can also use the book as a convenient reference. Nº de ref. de la librería AAH9780471420279

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Donald Hedeker, Robert D. Gibbons
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ISBN 10: 0471420271 ISBN 13: 9780471420279
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Descripción John Wiley and Sons Ltd, United States, 2006. Hardback. Estado de conservación: New. 1. Auflage. Language: English . Brand New Book. Longitudinal data analysis for biomedical and behavioral sciences This innovative book sets forth and describes methods for the analysis of longitudinaldata, emphasizing applications to problems in the biomedical and behavioral sciences. Reflecting the growing importance and use of longitudinal data across many areas of research, the text is designed to help users of statistics better analyze and understand this type of data. Much of the material from the book grew out of a course taught by Dr. Hedeker on longitudinal data analysis. The material is, therefore, thoroughly classroom tested and includes a number of features designed to help readers better understand and apply the material. Statistical procedures featured within the text include: Repeated measures analysis of variance Multivariate analysis of variance for repeated measures Random-effects regression models (RRM) Covariance-pattern models Generalized-estimating equations (GEE) models Generalizations of RRM and GEE for categorical outcomes Practical in their approach, the authors emphasize the applications of the methods, using real-world examples for illustration.Some syntax examples are provided, although the authors do not generally focus on software in this book. Several datasets and computer syntax examples are posted on this title s companion Web site. The authors intend to keep the syntax examples current as new versions of the software programs emerge. This text is designed for both undergraduate and graduate courses in longitudinal data analysis. Instructors can take advantage of overheads and additional course materials available online for adopters. Applied statisticians in biomedicine and the social sciences can also use the book as a convenient reference. Nº de ref. de la librería AAH9780471420279

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Donald Hedeker
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Descripción Wileyand#8211;Blackwell, 2006. HRD. Estado de conservación: New. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Nº de ref. de la librería FW-9780471420279

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Descripción John Wiley and Sons Ltd. Hardback. Estado de conservación: new. BRAND NEW, Longitudinal Data Analysis, Donald Hedeker, Robert D. Gibbons, Longitudinal data analysis for biomedical and behavioral sciences This innovative book sets forth and describes methods for the analysis of longitudinaldata, emphasizing applications to problems in the biomedical and behavioral sciences. Reflecting the growing importance and use of longitudinal data across many areas of research, the text is designed to help users of statistics better analyze and understand this type of data. Much of the material from the book grew out of a course taught by Dr. Hedeker on longitudinal data analysis. The material is, therefore, thoroughly classroom tested and includes a number of features designed to help readers better understand and apply the material. Statistical procedures featured within the text include: Repeated measures analysis of variance Multivariate analysis of variance for repeated measures Random-effects regression models (RRM) Covariance-pattern models Generalized-estimating equations (GEE) models Generalizations of RRM and GEE for categorical outcomes Practical in their approach, the authors emphasize the applications of the methods, using real-world examples for illustration. Some syntax examples are provided, although the authors do not generally focus on software in this book. Several datasets and computer syntax examples are posted on this title's companion Web site. The authors intend to keep the syntax examples current as new versions of the software programs emerge. This text is designed for both undergraduate and graduate courses in longitudinal data analysis. Instructors can take advantage of overheads and additional course materials available online for adopters. Applied statisticians in biomedicine and the social sciences can also use the book as a convenient reference. Nº de ref. de la librería B9780471420279

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Descripción Wiley-Interscience. Hardcover. Estado de conservación: New. 0471420271 New US Edition Textbook, Ships with Emailed Tracking from USA. Nº de ref. de la librería Z0471420271ZN

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Descripción John Wiley and Sons Ltd, United States, 2006. Hardback. Estado de conservación: New. 1. Auflage. Language: English . This book usually ship within 10-15 business days and we will endeavor to dispatch orders quicker than this where possible. Brand New Book. Longitudinal data analysis for biomedical and behavioral sciences This innovative book sets forth and describes methods for the analysis of longitudinaldata, emphasizing applications to problems in the biomedical and behavioral sciences. Reflecting the growing importance and use of longitudinal data across many areas of research, the text is designed to help users of statistics better analyze and understand this type of data. Much of the material from the book grew out of a course taught by Dr. Hedeker on longitudinal data analysis. The material is, therefore, thoroughly classroom tested and includes a number of features designed to help readers better understand and apply the material. Statistical procedures featured within the text include: Repeated measures analysis of variance Multivariate analysis of variance for repeated measures Random-effects regression models (RRM) Covariance-pattern models Generalized-estimating equations (GEE) models Generalizations of RRM and GEE for categorical outcomes Practical in their approach, the authors emphasize the applications of the methods, using real-world examples for illustration.Some syntax examples are provided, although the authors do not generally focus on software in this book. Several datasets and computer syntax examples are posted on this title s companion Web site. The authors intend to keep the syntax examples current as new versions of the software programs emerge. This text is designed for both undergraduate and graduate courses in longitudinal data analysis. Instructors can take advantage of overheads and additional course materials available online for adopters. Applied statisticians in biomedicine and the social sciences can also use the book as a convenient reference. Nº de ref. de la librería BZV9780471420279

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