Longitudinal Data Analysis
Aus der Reihe
Wiley Series in Probability and Statistics
153,99 €
inkl. gesetzl. MwSt.Beschreibung
Produktdetails
Format
Kopierschutz
Ja
Family Sharing
Nein
Text-to-Speech
Nein
Erscheinungsdatum
19.06.2006
Verlag
Wiley-SpektrumSeitenzahl
360 (Printausgabe)
Dateigröße
17216 KB
Auflage
1. Auflage
Sprache
Englisch
EAN
9780470036471
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.
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.
Kundinnen und Kunden meinen
Verfassen Sie die erste Bewertung zu diesem Artikel
Helfen Sie anderen Kund*innen durch Ihre Meinung
Kurze Frage zu unserer Seite
Vielen Dank für dein Feedback
Wir nutzen dein Feedback, um unsere Produktseiten zu verbessern. Bitte habe Verständnis, dass wir dir keine Rückmeldung geben können. Falls du Kontakt mit uns aufnehmen möchtest, kannst du dich aber gerne an unseren Kund*innenservice wenden.
zum Kundenservice