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Missing Data in Longitudinal Studies
- Strategies for Bayesian Modeling and Sensitivity Analysis
- Binding:
- Hardback
- Pages:
- 324
- Published:
- March 10, 2008
- Dimensions:
- 163x240x23 mm.
- Weight:
- 612 g.
Delivery:
2-3 weeks
Expected delivery: December 12, 2024
About Michael J. (University of Florida Daniels
View all books by Michael J. (University of Florida DanielsDescription of Missing Data in Longitudinal Studies
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.
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