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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/3182

Title: Monotone missing data and pattern-mixture models
Authors: Molenberghs, Geert
Michiels, Bart
Kenward, Michael G.
Diggle, Peter J.
Issue Date: 1998
Publisher: BLACKWELL PUBL LTD
Citation: STATISTICA NEERLANDICA, 52(2). p. 153-161
Abstract: 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.
Notes: Limburgs Univ Ctr, B-3590 Diepenbeek, Belgium. Univ Kent, Inst Math & Stat, Canterbury CT2 7NF, Kent, England. Univ Lancaster, Dept Math & Stat, Lancaster LA1 4YF, England.
URI: http://hdl.handle.net/1942/3182
DOI: 10.1111/1467-9574.00075
ISI #: 000075204600003
ISSN: 0039-0402
Type: Journal Contribution
Validation: ecoom, 1999
Appears in Collections: Research publications

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