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|Title: ||Monotone missing data and pattern-mixture models|
|Authors: ||Molenberghs, Geert|
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.|
|ISI #: ||000075204600003|
|Type: ||Journal Contribution|
|Validation: ||ecoom, 1999|
|Appears in Collections: ||Research publications|
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|Published version||126.33 kB||Adobe PDF|
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