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Identifying Variables Responsible for Data not Missing at Random

โœ Scribed by Ke-Hai Yuan


Book ID
106573933
Publisher
Springer
Year
2008
Tongue
English
Weight
394 KB
Volume
74
Category
Article
ISSN
0033-3123

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Liang and Zeger proposed a generalized estimating equations approach to the analysis of longitudinal data. Their models assume that missing observations are missing completely at random in the sense of Rubin. However, when this assumption does not hold, their analysis may yield biased results. In th