by Michael J . Daniels (Author), JosephW.Hogan (Author)
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.
Format: Hardcover
Pages: 328
Edition: 1
Publisher: Chapman and Hall/CRC
Published: 14 Apr 2008
ISBN 10: 1584886099
ISBN 13: 9781584886099