Pool adjacent violators algorithm–assisted learning with application on estimating optimal individualized treatment regimes
From MaRDI portal
Publication:6079628
DOI10.1111/biom.13511zbMath1520.62155OpenAlexW3174013489MaRDI QIDQ6079628
Unnamed Author, Ao Yuan, Baojiang Chen
Publication date: 30 October 2023
Published in: Biometrics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1111/biom.13511
monotoneoptimalestimating equationdoubly robustpool adjacent violators algorithmindividualized treatment
Cites Work
- Unnamed Item
- \(Q\)- and \(A\)-learning methods for estimating optimal dynamic treatment regimes
- Statistical methods for dynamic treatment regimes. Reinforcement learning, causal inference, and personalized medicine
- Semiparametric single-index model for estimating optimal individualized treatment strategy
- Semiparametric additive isotonic regression
- Non-parametric analysis of a generalized regression model. The maximum rank correlation estimator
- Slicing regression: A link-free regression method
- Bootstrap methods: another look at the jackknife
- Semiparametric least squares (SLS) and weighted SLS estimation of single-index models
- Biased sampling, over-identified parameter problems and beyond
- Regression analysis under link violation
- Direct estimation of the index coefficient in a single-index model
- Optimal smoothing in single-index models
- An active set algorithm to estimate parameters in generalized linear models with ordered predictors
- Semiparametric Analysis of Isotonic Errors-in-Variables Regression Models with Missing Response
- Evaluating marker-guided treatment selection strategies
- Combining biomarkers to optimize patient treatment recommendations
- Semiparametric Difference-in-Differences Estimators
- An Empirical Distribution Function for Sampling with Incomplete Information
- Distribution-Free Maximum Likelihood Estimator of the Binary Choice Model
- ASYMPTOTIC DISTRIBUTIONS FOR TWO ESTIMATORS OF THE SINGLE-INDEX MODEL
- Sliced Inverse Regression for Dimension Reduction
- Direct Semiparametric Estimation of Single-Index Models with Discrete Covariates
- Estimation and Inference of Heterogeneous Treatment Effects using Random Forests
- Concordance-Assisted Learning for Estimating Optimal Individualized Treatment Regimes
- Estimating Individualized Treatment Rules Using Outcome Weighted Learning
- Optimal Dynamic Treatment Regimes
- Inference for Likelihood Ratio Ordering in the Two-Sample Problem
- A Robust Method for Estimating Optimal Treatment Regimes
- An Efficient Semiparametric Estimator for Binary Response Models
- Effectively Selecting a Target Population for a Future Comparative Study
- Score estimation in the monotone single‐index model
- A Semiparametric Approach to Model Effect Modification
