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http://dx.doi.org/10.1201/9781420011180
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IX
Front MatterAbstract - Hi-Res PDF (564 KB) - PDF w/links (564 KB)
1
Chapter 1. Description of Motivating ExamplesAbstract - Hi-Res PDF (1225 KB) - PDF w/links (1225 KB)
15
Chapter 2. Regression Models for Longitudinal DataAbstract - Hi-Res PDF (666 KB) - PDF w/links (667 KB)
39
Chapter 3. Methods of Bayesian InferenceAbstract - Hi-Res PDF (930 KB) - PDF w/links (930 KB)
72
Chapter 4. Worked Examples using Complete DataAbstract - Hi-Res PDF (478 KB) - PDF w/links (479 KB)
85
Chapter 5. Missing Data Mechanisms and Longitudinal DataAbstract - Hi-Res PDF (810 KB) - PDF w/links (811 KB)
115
Chapter 6. Inference about Full-Data Parameters under IgnorabilityAbstract - Hi-Res PDF (854 KB) - PDF w/links (855 KB)
145
Chapter 7. Case StudiesAbstract - Hi-Res PDF (623 KB) - PDF w/links (624 KB)
165
Chapter 8. Models for Handling Nonignorable MissingnessAbstract - Hi-Res PDF (1334 KB) - PDF w/links (1335 KB)
216
Chapter 9. Informative Priors and Sensitivity AnalysisAbstract - Hi-Res PDF (511 KB) - PDF w/links (512 KB)
233
Chapter 10. Case StudiesAbstract - Hi-Res PDF (1220 KB) - PDF w/links (1220 KB)
268
DistributionsAbstract - Hi-Res PDF (169 KB) - PDF w/links (170 KB)
271
BibliographyAbstract - Hi-Res PDF (534 KB) - PDF w/links (535 KB)
