Applied Longitudinal Data Analysis
Seiten
2010
Springer-Verlag New York Inc.
978-0-387-40337-3 (ISBN)
Springer-Verlag New York Inc.
978-0-387-40337-3 (ISBN)
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The goal of this book is to provide an overview of statistical models and methods that are useful in the analysis of longitudinal data; that is, data in the form of repeated measurements on the same experimental unit over time. The intended audience is a combination of non- statistics graduate students who have taken an applied methods course covering linear regression and Analysis of Variance and masters-level statistics students looking for an applied intro course.
Introduction and Motivation * Review of Matrix Algebra * Random
Vectors and Multivariate Normal Distribution * Univariate Repeated
Measures Analysis of Variance * Multivariate Repeated Measures
Analysis of Variance * Drawbacks and Limitations of Classicial Methods
* General Linear Models for Longitudinal Data * Random Coefficient
Models for Multivariate Normal Data * Linear Mixed Effects Models for
Multivariate Normal Data * Generalized Linear Models for NonNormal
Response * Population-averaged Models for Nonnormal Repeated
Measurements * Advanced Topics
| Reihe/Serie | Springer Texts in Statistics |
|---|---|
| Verlagsort | New York, NY |
| Sprache | englisch |
| Einbandart | gebunden |
| Themenwelt | Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik |
| Schlagworte | Datenanalyse • Longitudinaldaten |
| ISBN-10 | 0-387-40337-X / 038740337X |
| ISBN-13 | 978-0-387-40337-3 / 9780387403373 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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