Longitudinal Data Analysis

1. Auflage 2008
ISBN: 978-1-58488-658-7
Verlag: Taylor & Francis Ltd (Sales)

Buch, Englisch, 632 Seiten, Format (B × H): 184 mm x 261 mm, Gewicht: 1248 g

Reihe: Chapman & Hall/CRC Handbooks of Modern Statistical Methods

Although many books currently available describe statistical models and methods for analyzing longitudinal data, they do not highlight connections between various research threads in the statistical literature. Responding to this void, Longitudinal Data Analysis provides a clear, comprehensive, and unified overview of state-of-the-art theory and applications. It also focuses on the assorted challenges that arise in analyzing longitudinal data.

After discussing historical aspects, leading researchers explore four broad themes: parametric modeling, nonparametric and semiparametric methods, joint models, and incomplete data. Each of these sections begins with an introductory chapter that provides useful background material and a broad outline to set the stage for subsequent chapters. Rather than focus on a narrowly defined topic, chapters integrate important research discussions from the statistical literature. They seamlessly blend theory with applications and include examples and case studies from various disciplines.

Destined to become a landmark publication in the field, this carefully edited collection emphasizes statistical models and methods likely to endure in the future. Whether involved in the development of statistical methodology or the analysis of longitudinal data, readers will gain new perspectives on the field.

Zielgruppe

Researchers and graduate students in statistics and biostatistics; applied statisticians; quantitative researchers.

Autoren/Hrsg.

Fitzmaurice, Garrett

Davidian, Marie

Verbeke, Geert

Molenberghs, Geert

Fachgebiete

• Sozialwissenschaften Soziologie | Soziale Arbeit Soziologie Allgemein Empirische Sozialforschung, Statistik

Inhaltsverzeichnis

Introduction and Historical Overview. Parametric Modeling of Longitudinal Data. Nonparametric and Semiparametric Methods for Longitudinal Data. Joint Models for Longitudinal Data. Incomplete Data. Index.