Balancing weights for non-monotone missing data
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DOI: 10.1214/25-ejs2438
Abstract: Balancing weights have been widely applied to single or monotone missingness due to empirical advantages over likelihood-based methods and inverse probability weighting approaches. This paper considers non-monotone missing data under the complete-case missing variable condition… read more here.
Keywords: non monotone; missing data; propensity odds; balancing weights ... See more keywords