Information projection approach to smoothed propensity score weighting for handling selection bias under missing at random

Cites Work

The prognostic analogue of the propensity score
Oracle, multiple robust and multipurpose calibration in a missing response problem
Empirical likelihood and general estimating equations
Covariate balancing propensity score by tailored loss functions
Semiparametric optimal estimation with nonignorable nonresponse data
Robust estimation with exponentially tilted Hellinger distance
Bounded, efficient and doubly robust estimation with inverse weighting
Semiparametric inverse propensity weighting for nonignorable missing data
A new approach to weighting and inference in sample surveys
Model-assisted estimation for complex surveys using penalised splines
Penalized Estimating Functions and Variable Selection in Semiparametric Regression Models
The central role of the propensity score in observational studies for causal effects
Inference and missing data
Estimation of Regression Coefficients When Some Regressors Are Not Always Observed
Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
Outcome‐adaptive lasso: Variable selection for causal inference
Inverse Probability Tilting for Moment Condition Models with Missing Data
A Model-Calibration Approach to Using Complete Auxiliary Information From Survey Data
Semiparametric estimation for measurement error models with validation data
Doubly Robust Inference when Combining Probability and Non-Probability Samples with High Dimensional Data
Combining Multiple Observational Data Sources to Estimate Causal Effects
Robust Inference Using Inverse Probability Weighting
Doubly Robust Inference With Nonprobability Survey Samples
Regularized calibrated estimation of propensity scores with model misspecification and high-dimensional data
A Cautionary Tale on Instrumental Calibration for the Treatment of Nonignorable Unit Nonresponse in Surveys
Using Calibration Weighting to Adjust for Nonignorable Unit Nonresponse
Globally Efficient Non-Parametric Inference of Average Treatment Effects by Empirical Balancing Calibration Weighting
OUP accepted manuscript
Weighting in survey analysis under informative sampling
Estimation with missing data: beyond double robustness
Covariate Balancing Propensity Score
Nonparametric Model Calibration Estimation in Survey Sampling
Information Theory and Statistics: A Tutorial

This page was built for publication: Information projection approach to smoothed propensity score weighting for handling selection bias under missing at random