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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Missing Data in Longitudinal Studies: Strategies for Bayesian Modeling and Sensitivity Analysis

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

Daniels, Michael J.
Hogan, Joseph W.

Hardcover

Series: Chapman & Hall/CRC Monographs on Statistics and Applied Prob

Medical ReferenceProbability & Statistics

ISBN10: 1584886099
ISBN13: 9781584886099
Publisher: CRC Press
Published: Feb 1 2008
Pages: 324
Weight: 1.32
Height: 0.89 Width: 6.49 Depth: 9.30
Language: English
This book provides a unified Bayesian approach to handle missing data in longitudinal studies. It contains examples and case studies on schizophrenia, aging, HIV, and smoking cessation. The authors describe assumptions that include MAR and ignorability, demonstrate the importance of covariance modeling with incomplete data, and cover mixture and selection models for nonignorable missingness. They also present methods for representing untestable assumptions using prior distributions. Several analyses deal with nonignorable missingness as well as illustrate the models and methods. Many analyses are implemented using WinBUGS, with the code provided on a supplementary web page.

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