Semiparametric Estimation with Data Missing Not at Random Using an Instrumental Variable

DOI10.5705/ss.202016.0324zbMath1406.62049arXiv1607.03197OpenAlexW2964227557WikidataQ104495462 ScholiaQ104495462MaRDI QIDQ4558452

Eric J. Tchetgen Tchetgen, Lan Liu, Baoluo Sun, Wang Miao, Kathleen E. Wirth, James M. Robins

Publication date: 22 November 2018

Published in: Statistica Sinica (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1607.03197

zbMATH Keywords

instrumental variableinverse probability weightingmissing not at randomdoubly robust estimator

Mathematics Subject Classification ID

Nonparametric robustness (62G35) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (8)

Semiparametric Inference for Nonmonotone Missing-Not-at-Random Data: The No Self-Censoring Model ⋮ Semiparametric Inference of Causal Effect with Nonignorable Missing Confounders ⋮ On Semiparametric Instrumental Variable Estimation of Average Treatment Effects through Data Fusion ⋮ Efficient estimation in a partially specified nonignorable propensity score model ⋮ A Versatile Estimation Procedure Without Estimating the Nonignorable Missingness Mechanism ⋮ Treatment effects estimation with missing not at random data without outcome modeling ⋮ Group Testing Regression Analysis with Missing Data and Imperfect Tests ⋮ Testing the missing at random assumption in generalized linear models in the presence of instrumental variables

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