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Models for intensive longitudinal data /

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 met...

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Bibliographic Details
Call Number:Libro Electrónico
Other Authors: Walls, Theodore A., Schafer, J. L. (Joseph L.)
Format: Electronic eBook
Language:Inglés
Published: Oxford ; New York : Oxford University Press, 2006.
Subjects:
Online Access:Texto completo
Table of Contents:
  • Multilevel models for intensive longitudinal data / Theodore A. Walls, Hyekyung Jung, and Joseph E. Schwartz
  • Marginal modeling of intensive longitudinal data by generalized estimating equations / Joseph L. Schafer
  • A local linear estimation procedure for functional multilevel modeling / Runze Li, Tammy L. Root, and Saul Shiffman
  • Application of item response theory models for intensive longitudinal data / Donald Hedeker, Robin J. Mermelstein, and Brian R. Flay
  • Fitting curves with periodic and nonperiodic trends and their interactions with intensive longitudinal data / Carlotta Ching Ting Fok and James O. Ramsay
  • Multilevel autoregressive modeling of interindividual differences in the stability of a process / Michael J. Rovine and Theodore A. Walls
  • The state-space approach to modeling dynamic processes / Moon-Ho Ringo Ho, Robert Shumway, and Hernando Ombao
  • The control of behavioral input/output systems / James O. Ramsay
  • Dynamical systems modeling : an application to the regulation of intimacy and disclosure in marriage / Steve M. Boker and Jean-Philippe Laurenceau
  • Point process models for event history data : applications in behavioral science / Stephen L. Rathbun, Saul Shiffman, and Chad J. Gwaltney
  • Emerging technologies and next-generation intensive longitudinal data collection / Sarah M. Nusser, Stephen S. Intille and Ranjan Maitra.