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

• 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)
• Online Access: Click Here to View Status and Holdings.
• Physical Description: xx, 303 pages illustrations 25 cm
• Bibliography: Includes bibliographical references (p. 271-291) and indexes
• ISBN: 9781584886099; 1584886099

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 selection models for nonignorable missingness.