Models for Intensive Longitudinal Data

Theodore A. Walls, Joseph L. Schafer (Herausgeber)

Buch | Hardcover

320 Seiten

2006
Oxford University Press Inc (Verlag)
978-0-19-517344-4 (ISBN)

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A new class of longitudinal data has emerged with the use of technological devices for scientific data collection. This class of data is called intensive longitudinal data (ILD). This volume features state-of-the-art applied statistical modelling strategies developed by leading statisticians and methodologists working in conjunction with behavioural scientists.

Theodore A. Walls, Ph.D., is Professor of Psychology at the University of Rhode Island. As a research scientist at The Methodology Center at The Pennsylvania State University, Dr. Walls developed methods for the analysis of intensive longitudinal data and convened the international study group whose work led to the publication of this volume. His current work is focused on the development of models reflecting dynamic intraindividual processes. Joseph L. Schafer, Ph.D., is Associate Professor of Statistics and an Investigator at The Methodology Center at The Pennsylvania State University. Dr. Schafer has developed techniques for analyzing incomplete data and incorporating missing-data uncertainty into statistical inference. His areas of research also include latent-class and latent transition analysis, nonsampling errors in surveys and censuses, strategies for statistical computing and software development, and statistical methods for casual inference.

Introduction: Intensive Longitudinal DataTheodore A. Walls and Joseph L. Schafer:
1: Theodore A. Walls, Hyekyung Jung, and Joseph E. Schwartz: Multilevel Models for Intensive Longitudinal Data
2: Joseph L. Schafer: Marginal Modeling of Intensive Longitudinal Data by Generalized Estimating Equations
3: Runze Li, Tammy L. Root, and Saul Shiffman: A Local Linear Estimation Procedure for Functional Multilevel Modeling
4: Donald Hedeker, Robin J. Mermelstein, and Brian R. Flay: Application of Item Response Theory Models for Intensive Longitudinal Data
5: Carlotta Ching Ting Fok and James O. Ramsay: Periodic Trends, Non-periodic Trends, and their Interactions in Longitudinal or Functional Data
6: Michael J. Rovine and Theodore A. Walls: Multilevel Autoregressive Modeling of Interindividual Differences in the Regularity of a Process
7: Moon-Ho Ringo Ho, Robert Shumway, and Hernando Ombao: The State-Space Approach to Modeling Dynamic Processes
8: James O. Ramsay: The Control of Behavioral Input/Output Systems
9: Steven M. Boker and Jean-Phillippe Laurenceau: Dynamical Systems Modeling: An Application to the Regulation of Intimacy and Disclosure in Marriage
10: Stephen L. Rathbun, Saul Shiffman, and Chad J. Gwaltney: Point Process Models for Event History Data: Applications ion the Behavioral Science
11: Sarah M. Nusser, Stephen S. Intille, and Ranjan Maitra: Emerging Technologies and Next Generation Intensive Longitudinal Data Collection

Erscheint lt. Verlag	23.2.2006
Zusatzinfo	Numerous tables and line drawings
Verlagsort	New York
Sprache	englisch
Maße	167 x 239 mm
Gewicht	576 g
Themenwelt	Mathematik / Informatik ► Mathematik
	Studium ► Querschnittsbereiche ► Epidemiologie / Med. Biometrie
	Sozialwissenschaften ► Soziologie ► Empirische Sozialforschung
ISBN-10	0-19-517344-9 / 0195173449
ISBN-13	978-0-19-517344-4 / 9780195173444
Zustand	Neuware