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Modelling non-ignorable missing-data mechanisms with item response theory models

โœ Scribed by Rebecca Holman; Cees A. W. Glas


Book ID
118112962
Publisher
John Wiley and Sons
Year
2005
Tongue
English
Weight
192 KB
Volume
58
Category
Article
ISSN
0007-1102

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We discuss a new class of ignorable non-monotone missing data models -the randomized monotone missingness (RMM) models. We argue that the RMM models represent the most general plausible physical mechanism for generating non-monotone ignorable data. We show that there exists ignorable missing data pr

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I introduce a new class of non-ignorable non-monotone missing data models. These models are useful for investigating the sensitivity of one's estimates to untestable assumptions about the missing data process. I use the new models to analyse data from a case-control study of the effect of radiation