Missing data in longitudinal studies : strategies for Bayesian modeling and sensitivity analysis /
"Drawing from the authors' own work and from the most recent developments in the field, Missing Data in Longitudinal Studies: Strategies for Bayesian Modeling and Sensitivity Analysis describes a comprehensive Bayesian approach for drawing inference from incomplete data in longitudinal stu...
Saved in:
| Main Author: | Daniels, M. J. |
|---|---|
| Other Authors: | Hogan, Joseph W. |
| Format: | Book |
| Language: | English |
| Published: |
Boca Raton :
Chapman & Hall/CRC,
c2008.
|
| Series: | Monographs on statistics and applied probability (Series) ;
109. |
| Subjects: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Bayesian missing data problems : EM, data augmentation and noniterative computation / Ming T. Tan, Guo-Liang Tian, Kai Wang Ng.
by: Tan, Ming T.
Published: (2010) -
Kendall's advanced theory of statistics. Volume 2B, Anthony O'Hagan.
by: O'Hagan, Anthony.
Published: (1994) -
Bayesian methods for jointly modeling longitudinal and survival data / Elizabeth R. Brown.
by: Brown, Elizabeth R.
Published: (2002) -
Methods for the analysis of longitudinal measurements subject to nonignorable nonmonotone missing data / Andrea Beth Troxel.
by: Troxel, Andrea Beth.
Published: (1995) -
Applied Bayesian modeling and causal inference from incomplete-data perspectives : an essential journey with Donald Rubin's statistical family / edited by Andrew Gelman, Xiao-Li Meng.
Published: (2004)


