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Primary Article

Estimation With Survey Data Under Nonignorable Nonresponse or Informative Sampling

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Pages 193-200 | Published online: 31 Dec 2011

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Lei Wang. (2022) Identifiability and estimation of two-sample data with nonignorable missing response. Communications in Statistics - Theory and Methods 51:20, pages 7073-7087.
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Jiwei Zhao & Yanyuan Ma. (2022) A Versatile Estimation Procedure Without Estimating the Nonignorable Missingness Mechanism. Journal of the American Statistical Association 117:540, pages 1916-1930.
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Tianqing Liu & Xiaohui Yuan. (2020) Adaptive empirical likelihood estimation with nonignorable nonresponse data. Statistics 54:1, pages 1-22.
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Yunquan Song, Yanji Zhu, Xiuli Wang & Lu Lin. (2019) Robust inference for estimating equations with nonignorably missing data based on SIR algorithm. Journal of Statistical Computation and Simulation 89:17, pages 3196-3212.
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Ji Chen & Fang Fang. (2019) Semiparametric likelihood for estimating equations with non-ignorable non-response by non-response instrument. Journal of Nonparametric Statistics 31:2, pages 420-434.
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Niansheng Tang & Yuanyuan Ju. (2018) Statistical inference for nonignorable missing-data problems: a selective review. Statistical Theory and Related Fields 2:2, pages 105-133.
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Ji Chen, Bingying Xie & Jun Shao. (2018) Pseudo likelihood and dimension reduction for data with nonignorable nonresponse. Statistical Theory and Related Fields 2:2, pages 196-205.
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Ji Chen, Fang Fang & Zhiguo Xiao. (2018) Semiparametric inference for estimating equations with nonignorably missing covariates. Journal of Nonparametric Statistics 30:3, pages 796-812.
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Puying Zhao, Hui Zhao, Niansheng Tang & Zhaohai Li. (2017) Weighted composite quantile regression analysis for nonignorable missing data using nonresponse instrument. Journal of Nonparametric Statistics 29:2, pages 189-212.
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Pu-Ying Zhao, Nian-Sheng Tang & De-Peng Jiang. (2017) Efficient inverse probability weighting method for quantile regression with nonignorable missing data. Statistics 51:2, pages 363-386.
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Wang Miao, Peng Ding & Zhi Geng. (2016) Identifiability of Normal and Normal Mixture Models with Nonignorable Missing Data. Journal of the American Statistical Association 111:516, pages 1673-1683.
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Jiwei Zhao & Jun Shao. (2015) Semiparametric Pseudo-Likelihoods in Generalized Linear Models With Nonignorable Missing Data. Journal of the American Statistical Association 110:512, pages 1577-1590.
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Takahiro Hoshino. (2013) Semiparametric Bayesian Estimation for Marginal Parametric Potential Outcome Modeling: Application to Causal Inference. Journal of the American Statistical Association 108:504, pages 1189-1204.
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Xueli Wang, Hua Chen, Zhi Geng & Xiaohua Zhou. (2012) Using Auxiliary Data for Binomial Parameter Estimation with Nonignorable Nonresponse. Communications in Statistics - Theory and Methods 41:19, pages 3468-3478.
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Yijie Xue & Nicole A. Lazar. (2012) Empirical likelihood-based hot deck imputation methods. Journal of Nonparametric Statistics 24:3, pages 629-646.
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Jing Qin, Jun Shao & Biao Zhang. (2008) Efficient and Doubly Robust Imputation for Covariate-Dependent Missing Responses. Journal of the American Statistical Association 103:482, pages 797-810.
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Masatoshi Uehara, Danhyang Lee & Jae‐Kwang Kim. (2023) Statistical inference with semiparametric nonignorable nonresponse models. Scandinavian Journal of Statistics 50:4, pages 1795-1817.
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Majid Mojirsheibani, William Pouliot & Andre Shakhbandaryan. (2023) On regression and classification with possibly missing response variables in the data. Metrika.
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Shixiao Zhang, Peisong Han & Changbao Wu. (2022) Calibration Techniques Encompassing Survey Sampling, Missing Data Analysis and Causal Inference. International Statistical Review 91:2, pages 165-192.
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Wei Li, Wang Miao & Eric Tchetgen Tchetgen. (2023) Non-parametric inference about mean functionals of non-ignorable non-response data without identifying the joint distribution. Journal of the Royal Statistical Society Series B: Statistical Methodology 85:3, pages 913-935.
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Pengfei Li, Jing Qin & Yukun Liu. (2023) Instability of inverse probability weighting methods and a remedy for nonignorable missing data. Biometrics.
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Jae Kwang Kim & Kosuke Morikawa. (2023) An Empirical Likelihood Approach to Reduce Selection Bias in Voluntary Samples. Calcutta Statistical Association Bulletin 75:1, pages 8-27.
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Takumi Saegusa. (2023) Discussion. Calcutta Statistical Association Bulletin 75:1, pages 38-42.
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Jierui Du, Yuan Li & Xia Cui. (2023) Identification and Estimation of Generalized Additive Partial Linear Models with Nonignorable Missing Response. Communications in Mathematics and Statistics.
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Maureen Murdoch, Barbara A. Clothier, Timothy J. Beebe, Ann K. Bangerter & Siamak Noorbaloochi. (2022) Impact of different cover letter content and incentives on non-response bias in a sample of Veterans applying for Department of Veterans Affairs disability benefits: a randomized, 3X2X2 factorial trial. BMC Medical Research Methodology 22:1.
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Zhan Liu & Chun Yip Yau. (2021) Fitting time series models for longitudinal surveys with nonignorable missing data. Journal of Statistical Planning and Inference 214, pages 1-12.
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Marcin Hitczenko. (2021) Sample Bias Related to Household Role. Journal of Survey Statistics and Methodology 9:4, pages 891-918.
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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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Lei Wang, Puying Zhao & Jun Shao. (2021) Dimension-reduced semiparametric estimation of distribution functions and quantiles with nonignorable nonresponse. Computational Statistics & Data Analysis 156, pages 107142.
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Zahoor Ahmad & Li‐Chun Zhang. 2021. Advances in Longitudinal Survey Methodology. Advances in Longitudinal Survey Methodology 491 512 .
Jing Zhang, Qihua Wang & Jian Kang. (2020) Feature screening under missing indicator imputation with non-ignorable missing response. Computational Statistics & Data Analysis 149, pages 106975.
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Wei Li, Shu Yang & Peisong Han. (2020) Robust estimation for moment condition models with data missing not at random. Journal of Statistical Planning and Inference 207, pages 246-254.
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Xianwen Ding, Jiandong Chen & Xueping Chen. (2019) Regularized quantile regression for ultrahigh-dimensional data with nonignorable missing responses. Metrika 83:5, pages 545-568.
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Weili Cheng & Niansheng Tang. (2020) Smoothed empirical likelihood inference for ROC curve in the presence of missing biomarker values. Biometrical Journal 62:4, pages 1038-1059.
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Ting Zhang & Lei Wang. (2020) Smoothed empirical likelihood inference and variable selection for quantile regression with nonignorable missing response. Computational Statistics & Data Analysis 144, pages 106888.
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Caren Hasler & Radu V. Craiu. (2019) Nonparametric imputation method for nonresponse in surveys. Statistical Methods & Applications 29:1, pages 25-48.
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Xu Guo, Lianlian Song, Yun Fang & Lixing Zhu. (2019) Model checking for general linear regression with nonignorable missing response. Computational Statistics & Data Analysis 138, pages 1-12.
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Shigeyuki Hamori, Kaiji Motegi & Zheng Zhang. (2019) Calibration estimation of semiparametric copula models with data missing at random. Journal of Multivariate Analysis 173, pages 85-109.
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Yuya Shimizu & Takahiro Hoshino. (2020) Doubly robust‐type estimation of population moments and parameters in biased sampling. Stat 8:1.
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Anna Sikov. (2018) A Brief Review of Approaches to Non‐ignorable Non‐response. International Statistical Review 86:3, pages 415-441.
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Kosuke Morikawa & Jae Kwang Kim. (2018) A note on the equivalence of two semiparametric estimation methods for nonignorable nonresponse. Statistics & Probability Letters 140, pages 1-6.
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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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Jongho Im & Soeun Kim. (2017) Multiple imputation for nonignorable missing data. Journal of the Korean Statistical Society 46:4, pages 583-592.
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Kosuke Morikawa, Jae Kwang Kim & Yutaka Kano. (2017) Semiparametric maximum likelihood estimation with data missing not at random. Canadian Journal of Statistics 45:4, pages 393-409.
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Xia Cui & Yong Zhou. (2017) Estimated conditional score function for missing mechanism model with nonignorable nonresponse. Science China Mathematics 60:7, pages 1197-1218.
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Danny Pfeffermann. (2017) Bayes-based Non-Bayesian Inference on Finite Populations from Non-representative Samples: A Unified Approach*Based on S. N. Roy Memorial Lecture in the symposium.. Calcutta Statistical Association Bulletin 69:1, pages 35-63.
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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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Fang Fang & Jun Shao. (2016) Model selection with nonignorable nonresponse. Biometrika 103:4, pages 861-874.
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Jun Shao & Lei Wang. (2016) Semiparametric inverse propensity weighting for nonignorable missing data. Biometrika 103:1, pages 175-187.
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J. Shao & J. Zhang. (2015) A transformation approach in linear mixed-effects models with informative missing responses. Biometrika 102:1, pages 107-119.
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Baojiang ChenJing Qin. (2014) Use of empirical likelihood to calibrate auxiliary information in partly linear monotone regression models. Statistics in Medicine 33:10, pages 1713-1722.
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Hideitsu Hino & Noboru Murata. (2013) Information estimators for weighted observations. Neural Networks 46, pages 260-275.
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Michael Bücker, Maarten van Kampen & Walter Krämer. (2013) Reject inference in consumer credit scoring with nonignorable missing data. Journal of Banking & Finance 37:3, pages 1040-1045.
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Michael Bücker, Walter Krämer & Matthias Arnold. (2012) A Hausman test for non-ignorability. Economics Letters 114:1, pages 23-25.
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Xueli Wang. (2011) Binomial parameter estimation with nonignorable missing data. Binomial parameter estimation with nonignorable missing data.
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Fang Fang, Quan Hong & Jun Shao. (2009) A pseudo empirical likelihood approach for stratified samples with nonresponse. The Annals of Statistics 37:1.
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Jacob J. Oleson & Chong Z. He. (2004) Hierarchical Bayesian Modeling in Dichotomous Processes in the Presence of Nonresponse. Biometrics 60:1, pages 50-59.
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Shigeyuki Hamori, Kaiji Motegi & Zheng Zhang. (2019) Copula-Based Regression Models with Responses Missing at Random: A Unified Approach. 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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Shigeyuki Hamori, Kaiji Motegi & Zheng Zhang. (2018) Calibration Estimation of Semiparametric Copula Models with Data Missing at Random. SSRN Electronic Journal.
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