Multithreshold change plane model: estimation theory and applications in subgroup identification
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Publication:6628124
DOI10.1002/sim.8976zbMATH Open1546.62455MaRDI QIDQ6628124
Baisuo Jin, Yaguang Li, Michael R. Kosorok, Unnamed Author
Publication date: 29 October 2024
Published in: Statistics in Medicine (Search for Journal in Brave)
Cites Work
- Unnamed Item
- Unnamed Item
- Coordinate descent algorithms for nonconvex penalized regression, with applications to biological feature selection
- On optimal multiple changepoint algorithms for large data
- Nearly unbiased variable selection under minimax concave penalty
- Estimating treatment effect heterogeneity in randomized program evaluation
- \(Q\)- and \(A\)-learning methods for estimating optimal dynamic treatment regimes
- A smoothed least squares estimator for threshold regression models
- Robust learning for optimal treatment decision with NP-dimensionality
- Q-learning with censored data
- Performance guarantees for individualized treatment rules
- On the least squares estimation of multiple-regime threshold autoregressive models
- A novel and fast methodology for simultaneous multiple structural break estimation and variable selection for nonstationary time series models
- High-dimensional \(A\)-learning for optimal dynamic treatment regimes
- Estimation and model selection based inference in single and multiple threshold models.
- Bootstrap critical values for tests based on the smoothed maximum score estimator
- Multi-threshold accelerated failure time model
- A computationally efficient nonparametric approach for changepoint detection
- Regularized outcome weighted subgroup identification for differential treatment effects
- STRUCTURAL THRESHOLD REGRESSION
- Analysis of randomized comparative clinical trial data for personalized treatment selections
- Induced smoothing for the semiparametric accelerated failure time model: asymptotics and extensions to clustered data
- A Smoothed Maximum Score Estimator for the Binary Response Model
- Separable nonlinear least squares: the variable projection method and its applications
- Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
- Sample Splitting and Threshold Estimation
- A general statistical framework for subgroup identification and comparative treatment scoring
- Estimation and Inference of Heterogeneous Treatment Effects using Random Forests
- The change-plane Cox model
- Concordance-Assisted Learning for Estimating Optimal Individualized Treatment Regimes
- Estimating Individualized Treatment Rules Using Outcome Weighted Learning
- Optimal Dynamic Treatment Regimes
- A Robust Method for Estimating Optimal Treatment Regimes
- A Simple Method for Estimating Interactions Between a Treatment and a Large Number of Covariates
- Entropy Learning for Dynamic Treatment Regimes
- Optimal Structural Nested Models for Optimal Sequential Decisions
- Effectively Selecting a Target Population for a Future Comparative Study
- On Estimation of Optimal Treatment Regimes for Maximizing t-Year Survival Probability
- Inference for Subgroup Analysis With a Structured Logistic-Normal Mixture Model
- New Statistical Learning Methods for Estimating Optimal Dynamic Treatment Regimes
- Robust estimation of optimal dynamic treatment regimes for sequential treatment decisions
- Problems in the Analysis of Survey Data, and a Proposal
- Tuning Parameter Selection in High Dimensional Penalized Likelihood
- The Lasso for High Dimensional Regression with a Possible Change Point
- On sparse representation for optimal individualized treatment selection with penalized outcome weighted learning
- A model-based multithreshold method for subgroup identification
Related Items (6)
New penalty in information criteria for the ARCH sequence with structural changes ⋮ Random change point model with an application to the China household finance survey ⋮ Subgroup analysis for longitudinal data based on a partial linear varying coefficient model with a change plane ⋮ Multiply robust subgroup analysis based on a single-index threshold linear marginal model for longitudinal data with dropouts ⋮ Modern approaches for evaluating treatment effect heterogeneity from clinical trials and observational data ⋮ Simultaneous subgroup identification and variable selection for high dimensional data
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