Efficient estimation in a partially specified nonignorable propensity score model
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Publication:2157489
DOI10.1016/J.CSDA.2021.107322OpenAlexW3184269590MaRDI QIDQ2157489
Mengyan Li, Jiwei Zhao, Yanyuan Ma
Publication date: 22 July 2022
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.csda.2021.107322
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Cites Work
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- Estimation in longitudinal studies with nonignorable dropout
- Semiparametric optimal estimation with nonignorable nonresponse data
- Semiparametric theory and missing data.
- Semiparametric inverse propensity weighting for nonignorable missing data
- Analysis of multivariate missing data with nonignorable nonresponse
- Using calibration weighting to adjust for nonresponse under a plausible model
- The central role of the propensity score in observational studies for causal effects
- Estimation of Regression Coefficients When Some Regressors Are Not Always Observed
- Parameter Estimation from Incomplete Data in Binomial Regression When the Missing Data Mechanism is Nonignorable
- Estimation With Survey Data Under Nonignorable Nonresponse or Informative Sampling
- A general instrumental variable framework for regression analysis with outcome missing not at random
- Semiparametric Estimation with Data Missing Not at Random Using an Instrumental Variable
- Adaptive Rejection Sampling for Gibbs Sampling
- An instrumental variable approach for identification and estimation with nonignorable nonresponse
- A Semiparametric Estimation of Mean Functionals With Nonignorable Missing Data
- Semiparametric Pseudo-Likelihoods in Generalized Linear Models With Nonignorable Missing Data
- Optimal pseudolikelihood estimation in the analysis of multivariate missing data with nonignorable nonresponse
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