Compensating for Missing Data from Longitudinal Studies Using WinBUGS

Compensating for Missing Data from Longitudinal Studies Using WinBUGS

Missing data is a common problem in survey based research. There are many packages that compensate for missing data but few can easily compensate for missing longitudinal data. WinBUGS compensates for missing data using multiple imputation, and is able to incorporate longitudinal structure using ran...

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Bibliographic Details
Main Authors: Gretchen Carrigan, Adrian G. Barnett, Annette J. Dobson, Gita Mishra
Format: Article
Language:English
Published: Foundation for Open Access Statistics 2007-06-01
Series:Journal of Statistical Software
Subjects:
missing data
multiple imputation
longitudinal data
WinBUGS
SAS
Online Access:http://www.jstatsoft.org/v19/i07/paper

Internet

http://www.jstatsoft.org/v19/i07/paper

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