文章基本信息

标题：Compensating for Missing Data from Longitudinal Studies Using WinBUGS
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作者：Gretchen Carrigan ; Adrian G. Barnett ; Annette J. Dobson 等
期刊名称：Journal of Statistical Software
印刷版ISSN：1548-7660
电子版ISSN：1548-7660
出版年度：2007
卷号：19
期号：1
页码：1-17
语种：English
出版社：University of California, Los Angeles
摘要：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 random effects. We demonstrate the superiority of longitudinal imputation over cross-sectional imputation using WinBUGS. We use example data from the Australian Longitudinal Study on Women's Health. We give a SAS macro that uses WinBUGS to analyze longitudinal models with missing covariate date, and demonstrate its use in a longitudinal study of terminal cancer patients and their carers.