Improved Doubly Robust Estimation in Learning Optimal Individualized Treatment Rules
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Publication:5857147
DOI10.1080/01621459.2020.1725522zbMath1457.62357OpenAlexW3007824980MaRDI QIDQ5857147
Publication date: 30 March 2021
Published in: Journal of the American Statistical Association (Search for Journal in Brave)
Full work available at URL: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8132732
Asymptotic properties of parametric estimators (62F12) Applications of statistics to biology and medical sciences; meta analysis (62P10) Point estimation (62F10) Robustness and adaptive procedures (parametric inference) (62F35)
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- Doubly Robust Estimation in Missing Data and Causal Inference Models
- \(Q\)- and \(A\)-learning methods for estimating optimal dynamic treatment regimes
- Nonparametric estimation of regression functions with both categorical and continuous data
- 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
- Comment: Understanding OR, PS and DR
- Performance guarantees for individualized treatment rules
- Characterization of the asymptotic distribution of semiparametric M-estimators
- Unified methods for censored longitudinal data and causality
- Semiparametric theory and missing data.
- Bounded, efficient and doubly robust estimation with inverse weighting
- Doubly-robust dynamic treatment regimen estimation via weighted least squares
- Interactive model building for Q-learning
- Improved Doubly Robust Estimation When Data Are Monotonely Coarsened, with Application to Longitudinal Studies with Dropout
- Improving efficiency and robustness of the doubly robust estimator for a population mean with incomplete data
- Asymptotics for Semiparametric Econometric Models Via Stochastic Equicontinuity
- Estimation of Regression Coefficients When Some Regressors Are Not Always Observed
- The Asymptotic Variance of Semiparametric Estimators
- Adjusting for Nonignorable Drop-Out Using Semiparametric Nonresponse Models
- Estimating Individualized Treatment Rules Using Outcome Weighted Learning
- Optimal Dynamic Treatment Regimes
- A Robust Method for Estimating Optimal Treatment Regimes
- Causal Inference for Statistics, Social, and Biomedical Sciences
- New Statistical Learning Methods for Estimating Optimal Dynamic Treatment Regimes
- Bias-Reduced Doubly Robust Estimation
- Robust estimation of optimal dynamic treatment regimes for sequential treatment decisions
- Estimation of Semiparametric Models when the Criterion Function Is Not Smooth
- Comment: Demystifying double robustness: a comparison of alternative strategies for estimating a population mean from incomplete data
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