Semiparametric Inference of Causal Effect with Nonignorable Missing Confounders
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Publication:5037781
DOI10.5705/ss.202018.0466OpenAlexW3037081868MaRDI QIDQ5037781
Publication date: 4 March 2022
Published in: Statistica Sinica (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.5705/ss.202018.0466
Cites Work
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- Doubly Robust Estimation in Missing Data and Causal Inference Models
- Demystifying double robustness: a comparison of alternative strategies for estimating a population mean from incomplete data
- Identification of graphical models for nonignorable nonresponse of binary outcomes in longitudinal studies
- Model assisted survey sampling.
- Causal inference with observational data under cluster-specific non-ignorable assignment mechanism
- Estimation of causal effects using instrumental variables with nonignorable missing covariates: application to effect of type of delivery NICU on premature infants
- Semiparametric estimation of treatment effect in a pretest-posttest study with missing data (with comments and rejoinder)
- A new instrumental method for dealing with endogenous selection
- Semiparametric inverse propensity weighting for nonignorable missing data
- Multiple Imputation in Mixture Models for Nonignorable Nonresponse With Follow-ups
- Semiparametric Estimation of Treatment Effect in a Pretest‐Posttest Study
- Inference and missing data
- Sample Selection Bias as a Specification Error
- Missing Covariates in Generalized Linear Models When the Missing Data Mechanism is Non-ignorable
- Estimation of Regression Coefficients When Some Regressors Are Not Always Observed
- Regression Analysis with Missing Covariate Data Using Estimating Equations
- A conditional model for incomplete covariates in parametric regression models
- Analysis of Multivariate Longitudinal Outcomes With Nonignorable Dropouts and Missing Covariates
- Proportional Hazards Regression with Missing Covariates
- Semiparametric Estimation with Data Missing Not at Random Using an Instrumental Variable
- Propensity Score Matching Analysis for Causal Effects with MNAR Covariates
- Identification and Inference With Nonignorable Missing Covariate Data
- Identifying causal effects with proxy variables of an unmeasured confounder
- Multiple Imputation for Interval Estimation From Simple Random Samples With Ignorable Nonresponse
- Likelihood-Based Methods for Missing Covariates in the Cox Proportional Hazards Model
- Causal inference with confounders missing not at random
- An instrumental variable approach for identification and estimation with nonignorable nonresponse
- Semiparametric Pseudo-Likelihoods in Generalized Linear Models With Nonignorable Missing Data
- On varieties of doubly robust estimators under missingness not at random with a shadow variable
- A Semiparametric Odds Ratio Model for Measuring Association
- A Generalization of Sampling Without Replacement From a Finite Universe
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