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Identification and inference with nonignorable missing covariate data

We study identification of parametric and semiparametric models with missing covariate data. When covariate data are missing not at random, identification is not guaranteed even under fairly restrictive parametric assumptions, a fact that is illustrated with several examples. We propose a general ap...

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Bibliografiske detaljer
Udgivet i:Stat Sin
Main Authors: Miao, Wang, Tchetgen Tchetgen, Eric
Format: Artigo
Sprog:Inglês
Udgivet: 2018
Fag:
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7746016/
https://ncbi.nlm.nih.gov/pubmed/33343174
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.5705/ss.202016.0322
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