Applied longitudinal Data Analysis

Erscheinungsjahr 2010
ISBN: 978-0-387-40337-3
Verlag: Springer

Buch, Englisch, 504 Seiten

Reihe: Springer Texts in Statistics

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.

Autoren/Hrsg.

Davidian, Marie

Fachgebiete

• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Datenanalyse, Datenverarbeitung
• Mathematik | Informatik Mathematik Stochastik Mathematische Statistik

Inhaltsverzeichnis

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