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Journal of the American Statistical Association Volume 117, 2022 - Issue 540
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Theory and Methods

A Versatile Estimation Procedure Without Estimating the Nonignorable Missingness Mechanism

Jiwei Zhaoa Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WICorrespondence[email protected]
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Yanyuan Mab Department of Statistics, Pennsylvania State University, University Park, PAView further author information
Pages 1916-1930 | Received 22 Feb 2019, Accepted 16 Feb 2021, Published online: 20 Apr 2021

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Seong-ho Lee, Yanyuan Ma & Jiwei Zhao. (2024) Doubly Flexible Estimation under Label Shift. Journal of the American Statistical Association 0:0, pages 1-13.
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Kenji Beppu & Kosuke Morikawa. (2024) Verifiable identification condition for nonignorable nonresponse data with categorical instrumental variables. Statistical Theory and Related Fields 8:1, pages 40-50.
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Articles from other publishers (5)

Yuan Bian, Grace Y. Yi & Wenqing He. (2024) A unified framework of analyzing missing data and variable selection using regularized likelihood. Computational Statistics & Data Analysis 194, pages 107919.
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Jierui Du, Gao Wen & Xin Liang. (2024) Estimating the Complier Average Causal Effect with Non-Ignorable Missing Outcomes Using Likelihood Analysis. Mathematics 12:9, pages 1300.
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Rui Duan, C. Jason Liang, Pamela A. Shaw, Cheng Yong Tang & Yong Chen. (2023) Testing the missing at random assumption in generalized linear models in the presence of instrumental variables. Scandinavian Journal of Statistics 51:1, pages 334-354.
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Rebecca R Andridge. (2024) Using proxy pattern-mixture models to explain bias in estimates of COVID-19 vaccine uptake from two large surveys. Journal of the Royal Statistical Society Series A: Statistics in Society.
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Jierui Du & Xia Cui. (2023) Semiparametric estimation in generalized additive partial linear models with nonignorable nonresponse data. Statistical Papers.
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