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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.
TITLE: Missing Data in Longitudinal Studies
AUTHOR: Michael J. Daniels
SKU: 9781584886099
PUBLISHER: Taylor & Francis Inc
DATE PUBLISHED: 11/03/2008
PLACE PUBLISHED: United States
PAGES: 328
BINDING: Hardback
LANGUAGE: English
DIMENSIONS: 156 mm x 235 mm
WEIGHT: 612 gr