Monotone missing data and pattern-mixture models

G. Molenberghs; B. Michiels; M. G. Kenward; Peter Diggle

doi:10.1111/1467-9574.00075

Monotone missing data and pattern-mixture models

G. Molenberghs, B. Michiels, M. G. Kenward, Peter Diggle

Research output: Contribution to journal › Article › peer-review

115 Citations (Scopus)

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.

Original language	English
Pages (from-to)	153-161
Number of pages	9
Journal	Statistica Neerlandica
Volume	52
Issue number	2
DOIs	https://doi.org/10.1111/1467-9574.00075
Publication status	Published - 1 Jul 1998
Externally published	Yes

Keywords

Missing at random
Selection model

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10.1111/1467-9574.00075

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title = "Monotone missing data and pattern-mixture models",

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.",

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AU - Michiels, B.

AU - Kenward, M. G.

AU - Diggle, Peter

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AB - 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.

KW - Missing at random

KW - Selection model

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DO - 10.1111/1467-9574.00075

M3 - Article

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JO - Statistica Neerlandica

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Monotone missing data and pattern-mixture models

Abstract

Keywords

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