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A Bayesian model for longitudinal count data with non-ignorable dropout

✍ Scribed by Niko A. Kaciroti; Trivellore E. Raghunathan; M. Anthony Schork; Noreen M. Clark


Book ID
111039275
Publisher
John Wiley and Sons
Year
2008
Tongue
English
Weight
600 KB
Volume
57
Category
Article
ISSN
0035-9254

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πŸ“œ SIMILAR VOLUMES


THE MANTON–WOODBURY MODEL FOR LONGITUDIN
✍ TORBEN MARTINUSSEN; NIELS KEIDING πŸ“‚ Article πŸ“… 1997 πŸ› John Wiley and Sons 🌐 English βš– 499 KB πŸ‘ 2 views

Often in longitudinal studies one is not able to obtain a complete set of measurements of the variable recorded over time for each person in the study. This could be caused by some of the persons dying (or leaving the study for some other reasons) while the study is going on. If there is any concern