Robust inference for estimating equations with nonignorably missing data based on SIR algorithm

DOI10.1080/00949655.2019.1658110OpenAlexW2970169734MaRDI QIDQ5107517

Xiuli Wang, Yanji Zhu, Yunquan Song, Lu Lin

Publication date: 27 April 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2019.1658110

zbMATH Keywords

Monte Carlogeneralized method of momentsestimating equationnonignorable missing datasampling importance resamplingnonlinear science

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

Imputation-based empirical likelihood inferences for partially nonlinear quantile regression models with missing responses

Cites Work

• Large Sample Properties of Generalized Method of Moments Estimators
• Handling nonignorable nonresponse with respondent modeling and the SIR algorithm
• On the identifiability and estimation of generalized linear models with parametric nonignorable missing data mechanism
• Bayesian local influence analysis of general estimating equations with nonignorable missing data
• Empirical likelihood method for non-ignorable missing data problems
• Missing responses in generalised linear mixed models when the missing data mechanism is nonignorable
• Semiparametric inverse propensity weighting for nonignorable missing data
• Empirical likelihood-based inference in nonlinear regression models with missing responses at random
• Estimating Equations Inference With Missing Data
• Estimation With Survey Data Under Nonignorable Nonresponse or Informative Sampling
• An instrumental variable approach for identification and estimation with nonignorable nonresponse
• A Semiparametric Estimation of Mean Functionals With Nonignorable Missing Data
• Efficient inverse probability weighting method for quantile regression with nonignorable missing data
• Semiparametric Pseudo-Likelihoods in Generalized Linear Models With Nonignorable Missing Data
• Empirical likelihood for estimating equations with nonignorably missing data

This page was built for publication: Robust inference for estimating equations with nonignorably missing data based on SIR algorithm