Semiparametric inverse propensity weighting for nonignorable missing data

By Jun Shao, Lei Wang. 2016

158 citations recorded by the source corpus.

Subfields: Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/7cadc18059b277451cc91039c0ab2e7a1830cc2b

How researchers see this paper

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In Statistics and Probability

1. Kosuke Morikawa
2. Yutaka Kano
3. Jae Kwang Kim
4. Zhiqiang Tan

Citations in the corpus

• Semiparametric maximum likelihood estimation with data missing not at random (2017, methodology): “In this section we apply our proposed methods to the Korea Labor and Income Panel Survey (KLIPS) data, which was previously analyzed by Kim & Yu (2011), Wang, Shao, & Kim (2014), and Shao & Wang (2016).”