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Nonrandom Missingness in Categorical Data: Strengths and Limitations
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Nonrandom Missingness in Categorical Data: Strengths and Limitations
Nonrandom Missingness in Categorical Data: Strengths and Limitations
Geert Molenberghs
Geert Molenberghs
EG
Els J. T. Goetghebeur
Els J. T. Goetghebeur
Stuart R. Lipsitz
Stuart R. Lipsitz
Michael G. Kenward
Michael G. Kenward
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1 May 1999
journal article
Published by
JSTOR
in
The American Statistician
Vol. 53
(2)
,
110
https://doi.org/10.2307/2685728
Abstract
There have recently been substantial developments in the analysis of incomplete data. Modeling tools are now available for nonrandom missingness and these metho...
Keywords
MODELING
CATEGORICAL DATA
INCOMPLETE
METHO
NONRANDOM MISSINGNESS
SUBSTANTIAL
MISSINGNESS IN CATEGORICAL
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