Nonparametric Inverse-Probability-Weighted Estimators Based on the Highly Adaptive Lasso
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Publication:6055851
DOI10.1111/biom.13719zbMath1522.62125arXiv2005.11303OpenAlexW3026313505MaRDI QIDQ6055851
Ashkan Ertefaie, Nima S. Hejazi, Mark J. Van der Laan
Publication date: 30 October 2023
Published in: Biometrics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2005.11303
Cites Work
- 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
- Consistent estimation of the influence function of locally asymptotically linear estimators
- Nonparametric maximum likelihood estimation by the method of sieves
- Targeted learning in data science. Causal inference for complex longitudinal studies
- Efficient estimation in the bivariate censoring model and repairing NPMLE
- Unified methods for censored longitudinal data and causality
- Inefficient estimators of the bivariate survival function for three models
- Semiparametric theory and missing data.
- Combining Multiple Imputation and Inverse‐Probability Weighting
- Using the Standardized Difference to Compare the Prevalence of a Binary Variable Between Two Groups in Observational Research
- Improving efficiency and robustness of the doubly robust estimator for a population mean with incomplete data
- Estimation of Regression Coefficients When Some Regressors Are Not Always Observed
- Semiparametric Regression for Repeated Outcomes with Nonignorable Nonresponse
- Bias-Reduced Doubly Robust Estimation
- Doubly robust nonparametric inference on the average treatment effect
- Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score
- All of Nonparametric Statistics