Parametric fractional imputation for missing data analysis

By Jae Kwang Kim. 2011

140 citations recorded by the source corpus.

Subfields: Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/714dfcd27102125be3057f082f0f448607fd4918

How researchers see this paper

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In Statistics and Probability

1. Kosuke Morikawa
2. Yutaka Kano
3. M. Riddles
4. Jongho Im
5. Jae Kwang Kim
6. Zhiqiang Tan

Citations in the corpus

• Semiparametric maximum likelihood estimation with data missing not at random (2017, methodology): “ANALYZING THE KLIPS DATA 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). These data represent n = 2,506 Korean residents; the response variable”
• A Propensity-score-adjustment Method for Nonignorable Nonresponse (2016, methodology): “Kim and Yu (2011) considered a Kernel-based nonparametric regression method of estimating f (y | x, δ = 1) to obtain E (Y | x, δ = 0).”