Estimation of Optimal Individualized Treatment Rules Using a Covariate-Specific Treatment Effect Curve With High-Dimensional Covariates
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Publication:5857150
DOI10.1080/01621459.2020.1865167zbMath1457.62344arXiv1812.10018OpenAlexW3117290178MaRDI QIDQ5857150
Wenchuan Guo, Shujie Ma, Xiao-Hua Andrew Zhou
Publication date: 30 March 2021
Published in: Journal of the American Statistical Association (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1812.10018
Asymptotic properties of parametric estimators (62F12) Applications of statistics to biology and medical sciences; meta analysis (62P10) Analysis of variance and covariance (ANOVA) (62J10)
Related Items (3)
Data-guided Treatment Recommendation with Feature Scores ⋮ A Novel Estimation Method in Generalized Single Index Models ⋮ Model-Assisted Inference for Covariate-Specific Treatment Effects with High-dimensional Data
Cites Work
- Coordinate descent algorithms for nonconvex penalized regression, with applications to biological feature selection
- Nearly unbiased variable selection under minimax concave penalty
- Inference for single-index quantile regression models with profile optimization
- Variable selection for general index models via sliced inverse regression
- Semiparametric single-index model for estimating optimal individualized treatment strategy
- Performance guarantees for individualized treatment rules
- Alternative algorithms for the estimation of dynamic factor, mimic and varying coefficient regression models
- Additive regression and other nonparametric models
- High-dimensional \(A\)-learning for optimal dynamic treatment regimes
- BATE curve in assessment of clinical utility of predictive biomarkers
- High dimensional single index models
- Statistical inference for generalized additive models: simultaneous confidence corridors and variable selection
- Spline-backfitted kernel smoothing of nonlinear additive autoregression model
- Optimal uniform convergence rates and asymptotic normality for series estimators under weak dependence and weak conditions
- L1-Regularized Least Squares for Support Recovery of High Dimensional Single Index Models with Gaussian Designs
- Shrinkage Tuning Parameter Selection with a Diverging number of Parameters
- Combining biomarkers to optimize patient treatment recommendations
- A jump-detecting procedure based on spline estimation
- C-learning: A new classification framework to estimate optimal dynamic treatment regimes
- Interpretable Dynamic Treatment Regimes
- Analysis of randomized comparative clinical trial data for personalized treatment selections
- Tree-based methods for individualized treatment regimes
- Identifying optimal biomarker combinations for treatment selection via a robust kernel method
- Reader reaction to “A robust method for estimating optimal treatment regimes” by Zhang et al. (2012)
- Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
- Estimation and Inference of Heterogeneous Treatment Effects using Random Forests
- Estimating Individualized Treatment Rules Using Outcome Weighted Learning
- CSTE curve for selection of the optimal treatment when outcome is binary
- Estimating Dynamic Treatment Regimes in Mobile Health Using V-Learning
- Proper Inference for Value Function in High-Dimensional Q-Learning for Dynamic Treatment Regimes
- Entropy Learning for Dynamic Treatment Regimes
- Nonconcave Penalized Likelihood With NP-Dimensionality
- Oracally Efficient Two-Step Estimation of Generalized Additive Model
- Varying Index Coefficient Models
- Causal Inference Using Potential Outcomes
- A practical guide to splines.
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