Calibration Techniques Encompassing Survey Sampling, Missing Data Analysis and Causal Inference
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Publication:6089884
DOI10.1111/insr.12518OpenAlexW4292760984MaRDI QIDQ6089884
Shixiao Zhang, Peisong Han, Changbao Wu
Publication date: 15 December 2023
Published in: International Statistical Review (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1111/insr.12518
empirical likelihooddouble robustnesscovariate balancingpropensity scoreinverse probability weighting (IPW)multiple robustnessbenchmark constraintsrange-respecting
Applications of statistics (62Pxx) Nonparametric inference (62Gxx) Statistical sampling theory and related topics (62Dxx)
Cites Work
- Doubly Robust Estimation in Missing Data and Causal Inference Models
- Combining Inverse Probability Weighting and Multiple Imputation to Improve Robustness of Estimation
- Oracle, multiple robust and multipurpose calibration in a missing response problem
- Second-order asymptotic theory for calibration estimators in sampling and missing-data problems
- Demystifying double robustness: a comparison of alternative strategies for estimating a population mean from incomplete data
- Comment: Performance of double-robust estimators when ``inverse probability weights are highly variable
- Empirical likelihood and general estimating equations
- Jackknife empirical likelihood method for multiply robust estimation with missing data
- Introduction to double robust methods for incomplete data
- Empirical likelihood inference for non-randomized pretest-posttest studies with missing data
- Sampling theory and practice
- Deville and Särndal's calibration: revisiting a 25-years-old successful optimization problem
- A further study of the multiply robust estimator in missing data analysis
- Semiparametric theory and missing data.
- Semiparametric estimation of treatment effect in a pretest-posttest study with missing data (with comments and rejoinder)
- Bounded, efficient and doubly robust estimation with inverse weighting
- Optimal calibration estimators in survey sampling
- Empirical Likelihood-Based Estimation of the Treatment Effect in a Pretest–Posttest Study
- Pseudo-empirical likelihood ratio confidence intervals for complex surveys
- A Distributional Approach for Causal Inference Using Propensity Scores
- The central role of the propensity score in observational studies for causal effects
- Model-Based Direct Adjustment
- Empirical likelihood ratio confidence intervals for a single functional
- Calibration Estimators in Survey Sampling
- Inference and missing data
- Asymptotic Statistics
- Estimation of Regression Coefficients When Some Regressors Are Not Always Observed
- Estimation With Survey Data Under Nonignorable Nonresponse or Informative Sampling
- Efficient Estimation of Quadratic Finite Population Functions in the Presence of Auxiliary Information
- Adjusting for Nonignorable Drop-Out Using Semiparametric Nonresponse Models
- Using empirical likelihood methods to obtain range restricted weights in regression estimators for surveys
- Calibration and Multiple Robustness When Data Are Missing Not At Random
- EMPIRICAL LIKELIHOOD METHODS FOR COMPLEX SURVEYS WITH DATA MISSING-BY-DESIGN
- Ensemble Approaches to Estimating the Population Mean with Missing Response
- A Model-Calibration Approach to Using Complete Auxiliary Information From Survey Data
- Analysis of Semiparametric Regression Models for Repeated Outcomes in the Presence of Missing Data
- Bounded, Efficient and Multiply Robust Estimation of Average Treatment Effects Using Instrumental Variables
- Approximate Residual Balancing: Debiased Inference of Average Treatment Effects in High Dimensions
- Multiply Robust Estimation in Regression Analysis With Missing Data
- Multiply Robust Causal Inference with Double-Negative Control Adjustment for Categorical Unmeasured Confounding
- Empirical-Likelihood-Based Inference in Missing Response Problems and Its Application in Observational Studies
- Robust estimation of causal effects via a high-dimensional covariate balancing propensity score
- Demystifying a class of multiply robust estimators
- Minimal dispersion approximately balancing weights: asymptotic properties and practical considerations
- Regularized calibrated estimation of propensity scores with model misspecification and high-dimensional data
- A General Framework for Quantile Estimation with Incomplete Data
- Multiply robust nonparametric multiple imputation for the treatment of missing data
- Generalized pseudo empirical likelihood inferences for complex surveys
- Using Calibration Weighting to Adjust for Nonignorable Unit Nonresponse
- Causal Inference for Statistics, Social, and Biomedical Sciences
- Connections between Survey Calibration Estimators and Semiparametric Models for Incomplete Data
- Minimum Distance Matched Sampling With Fine Balance in an Observational Study of Treatment for Ovarian Cancer
- Stable Weights that Balance Covariates for Estimation With Incomplete Outcome Data
- Globally Efficient Non-Parametric Inference of Average Treatment Effects by Empirical Balancing Calibration Weighting
- Intrinsic efficiency and multiple robustness in longitudinal studies with drop-out: Table 1.
- OUP accepted manuscript
- Multiple robustness in factorized likelihood models
- Large Sample Properties of Matching Estimators for Average Treatment Effects
- Estimation with missing data: beyond double robustness
- Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score
- Higher Order Properties of Gmm and Generalized Empirical Likelihood Estimators
- On finite population sampling theory under certain linear regression models
- Covariate Balancing Propensity Score
- To Model or Not To Model? Competing Modes of Inference for Finite Population Sampling
- A Generalization of Sampling Without Replacement From a Finite Universe
- Comments on: ``Deville and Särndal's calibration: revisiting a 25 years old successful optimization problem
- Improving Trial Generalizability Using Observational Studies
- Calibration Weighting Methods for Complex Surveys
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