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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| Main Authors: | , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Boca Raton, FL
Chapman & Hall/CRC
2008
©2008 |
| Series: | Monographs on statistics and applied probability
109 |
| Subjects: | |
| Online Access: | Click Here to View Status and Holdings. |
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Bayesian missing data problems EM, data augmentation, and noniterative computation
