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
β¦ LIBER β¦
A Test of Missing Completely at Random for Multivariate Data with Missing Values
β Scribed by Roderick J. A. Little
- Book ID
- 118028485
- Publisher
- American Statistical Association
- Year
- 1988
- Tongue
- English
- Weight
- 889 KB
- Volume
- 83
- Category
- Article
- ISSN
- 0162-1459
- DOI
- 10.2307/2290157
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