Missing Data in Longitudinal Studies Strategies for Bayesian Modeling and Sensitivity Analysis

Missing Data in Longitudinal Studies Strategies for Bayesian Modeling and Sensitivity Analysis

Offers a unified Bayesian approach to handle missing data in longitudinal studies. This book contains examples and case studies on aging and HIV. It describes assumptions that include MAR and ignorability, demonstrate the importance of covariance modeling with incomplete data, and cover mixture and...

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Bibliographic Details
Main Authors: Damiels, M. J. (Author), Hogan, Joseph W. (Author)
Format: Book
Language:English
Published: Boca Raton, FL Chapman & Hall/CRC 2008
©2008
Series:Monographs on statistics and applied probability 109
Subjects:
Sensitivity theory
Bayesian statistical decision theory
Longitudinal method
Missing observations (Statistics)
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