Monotone missing data and pattern-mixture models
Monotone missing data and pattern-mixture models
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DOI：
10.1111/1467-9574.00075
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发表时间：
1998-07-01
影响因子：
1.5
通讯作者：
Diggle, PJ
中科院分区：
文献类型：
--
作者：
Molenberghs, G;Michiels, B;Diggle, PJ
It is shown that the classical taxonomy of missing data models, namely missing completely at random, missing at random and informative missingness, which has been developed almost exclusively within a selection modelling framework, can also be applied to pattern-mixture models. In particular, intuitively appealing identifying restrictions are proposed for a pattern-mixture MAR mechanism.
