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A flexible marginal modelling strategy for non‐monotone missing data
Author(s) -
Jansen Ivy,
Molenberghs Geert
Publication year - 2008
Publication title -
journal of the royal statistical society: series a (statistics in society)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.103
H-Index - 84
eISSN - 1467-985X
pISSN - 0964-1998
DOI - 10.1111/j.1467-985x.2007.00524.x
Subject(s) - missing data , multivariate statistics , context (archaeology) , computer science , monotone polygon , multivariate analysis , econometrics , sensitivity (control systems) , domain (mathematical analysis) , statistics , mathematics , machine learning , engineering , paleontology , mathematical analysis , electronic engineering , biology , geometry
Summary. Much research has been devoted to modelling strategies for longitudinal data with missingness, recently especially within the missingness not at random context. In this paper, the relatively unexplored but practically highly relevant domain of non‐monotone missingness with multivariate ordinal responses is broached. For this, a dedicated version of the multivariate Dale model is formulated. Furthermore, we also assess the sensitivity of these models to their assumptions, by using the technique of global influence.