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Theory and Methods

Identifiability of Normal and Normal Mixture Models with Nonignorable Missing Data

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Pages 1673-1683 | Received 01 Nov 2014, Published online: 04 Jan 2017

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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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Xijuan Zhang. (2023) How to Generate Missing Data For Simulation Studies. The Quantitative Methods for Psychology 19:2, pages 100-122.
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Ji Chen, Jun Shao & Fang Fang. (2020) Instrument search in pseudo-likelihood approach for nonignorable nonresponse. Annals of the Institute of Statistical Mathematics 73:3, pages 519-533.
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Xuerong Chen, Guoqing Diao & Jing Qin. (2020) Pseudo likelihood‐based estimation and testing of missingness mechanism function in nonignorable missing data problems. Scandinavian Journal of Statistics 47:4, pages 1377-1400.
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Alexander M. Franks, Edoardo M. AiroldiDonald B. Rubin. (2020) Nonstandard conditionally specified models for nonignorable missing data. Proceedings of the National Academy of Sciences 117:32, pages 19045-19053.
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Huybrechts F. Bindele & Brice M. Nguelifack. (2019) Generalized signed-rank estimation for regression models with non-ignorable missing responses. Computational Statistics & Data Analysis 139, pages 14-33.
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Lauren J. Beesley, Jeremy M. G. Taylor & Roderick J. A. Little. (2019) Sequential imputation for models with latent variables assuming latent ignorability. Australian & New Zealand Journal of Statistics 61:2, pages 213-233.
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Chi-hong Tseng & Yi-Hau Chen. (2017) Regularized approach for data missing not at random. Statistical Methods in Medical Research 28:1, pages 134-150.
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Zhichao Jiang & Peng Ding. (2018) Using missing types to improve partial identification with application to a study of HIV prevalence in Malawi. The Annals of Applied Statistics 12:3.
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Huybrechts F. Bindele & Akim Adekpedjou. (2018) Rank‐based inference with responses missing not at random. Canadian Journal of Statistics 46:3, pages 501-528.
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Xianwen Ding & Niansheng Tang. (2018) Adjusted Empirical Likelihood Estimation of Distribution Function and Quantile with Nonignorable Missing Data. Journal of Systems Science and Complexity 31:3, pages 820-840.
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Kosuke Morikawa & Yutaka Kano. (2018) Identification problem of transition models for repeated measurement data with nonignorable missing values. Journal of Multivariate Analysis 165, pages 216-230.
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Wei Li, Zhichao Jiang, Zhi Geng & Xiao‐Hua Zhou. (2018) Identification of causal effects with latent confounding and classical additive errors in treatment. Biometrical Journal 60:3, pages 498-515.
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Xia Cui, Jianhua Guo & Guangren Yang. (2017) On the identifiability and estimation of generalized linear models with parametric nonignorable missing data mechanism. Computational Statistics & Data Analysis 107, pages 64-80.
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R Devi Priya, S Kuppuswami & R Sivaraj. (2016) BAGEL: A non-ignorable missing value estimation method for mixed attribute datasets. Sādhanā 41:8, pages 825-836.
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Wang Miao & Eric J. Tchetgen Tchetgen. (2016) On varieties of doubly robust estimators under missingness not at random with a shadow variable. Biometrika 103:2, pages 475-482.
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Wenlong Gao, Jingxiang Xie, Maoyun Tian, Zhimei Zeng, Xiaojie Ma, Yongsong Ke & Minqian Zhi. (2022) A Two-Stage Prediction Filling Method with Support Vector Technologies Optimized Competitively in Stages by Grey Wolf Optimizer and Particle Swarm Optimization for Missing Fasting Blood Glucose. SSRN Electronic Journal.
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Jiaxu Peng, Jungpil Hahn & Ke-Wei Huang. (2020) Handling Missing Values in Information Systems Research: A Review of Methods and Assumptions. SSRN Electronic Journal.
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Zhimeng Sun & Hansheng Wang. (2018) Network Imputation for a Spatial Autoregression Model with Incomplete Data. SSRN Electronic Journal.
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