Assumption-Lean Quantile Regression
Fuente:
arXiv
Saved in:
| Main Authors: | Baklicharov, Georgi, Ley, Christophe, Gorasso, Vanessa, Devleesschauwer, Brecht, Vansteelandt, Stijn |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Robust evaluation of treatment effects in longitudinal studies with truncation by death or other intercurrent events
by: Baklicharov, Georgi, et al.
Published: (2025)
by: Baklicharov, Georgi, et al.
Published: (2025)
Chasing Shadows: How Implausible Assumptions Skew Our Understanding of Causal Estimands
by: Vansteelandt, Stijn, et al.
Published: (2024)
by: Vansteelandt, Stijn, et al.
Published: (2024)
Assumption Lean Regression
by: Berk, Richard A., et al.
Published: (2018)
by: Berk, Richard A., et al.
Published: (2018)
On Doubly Robust Inference for Double Machine Learning in Semiparametric Regression
by: Dukes, Oliver, et al.
Published: (2021)
by: Dukes, Oliver, et al.
Published: (2021)
On Weighted Orthogonal Learners for Heterogeneous Treatment Effects
by: Morzywolek, Pawel, et al.
Published: (2023)
by: Morzywolek, Pawel, et al.
Published: (2023)
Automated, efficient and model-free inference for randomized clinical trials via data-driven covariate adjustment
by: Van Lancker, Kelly, et al.
Published: (2024)
by: Van Lancker, Kelly, et al.
Published: (2024)
Robust Covariate Adjustment in Multi-Center Randomized Trials
by: Alene, Muluneh, et al.
Published: (2025)
by: Alene, Muluneh, et al.
Published: (2025)
Robust Inference for Mediated Effects in Partially Linear Models
by: Hines, Oliver, et al.
Published: (2020)
by: Hines, Oliver, et al.
Published: (2020)
Variable importance measures for heterogeneous treatment effects
by: Hines, Oliver J., et al.
Published: (2022)
by: Hines, Oliver J., et al.
Published: (2022)
Optimally weighted average derivative effects
by: Hines, Oliver, et al.
Published: (2023)
by: Hines, Oliver, et al.
Published: (2023)
Parameterising the effect of a continuous treatment using average derivative effects
by: Hines, Oliver J., et al.
Published: (2021)
by: Hines, Oliver J., et al.
Published: (2021)
Causal machine learning methods and use of cross-fitting in settings with high-dimensional confounding
by: Ellul, Susan, et al.
Published: (2024)
by: Ellul, Susan, et al.
Published: (2024)
On estimands in target trial emulation
by: Gervasoni, Edoardo Efrem, et al.
Published: (2026)
by: Gervasoni, Edoardo Efrem, et al.
Published: (2026)
Spline Quantile Regression
by: Li, Ta-Hsin, et al.
Published: (2025)
by: Li, Ta-Hsin, et al.
Published: (2025)
Causal Spatial Quantile Regression
by: Gong, Yan, et al.
Published: (2025)
by: Gong, Yan, et al.
Published: (2025)
Assumption-Lean Differential Variance Inference for Heterogeneous Treatment Effect Detection
by: Boileau, Philippe A., et al.
Published: (2025)
by: Boileau, Philippe A., et al.
Published: (2025)
Dependable Exploitation of High-Dimensional Unlabeled Data in an Assumption-Lean Framework
by: Ying, Chao, et al.
Published: (2026)
by: Ying, Chao, et al.
Published: (2026)
Assumption-Lean and Data-Adaptive Post-Prediction Inference
by: Miao, Jiacheng, et al.
Published: (2023)
by: Miao, Jiacheng, et al.
Published: (2023)
Two Stage Least Squares with Time-Varying Instruments: An Application to an Evaluation of Treatment Intensification for Type-2 Diabetes
by: Tompsett, Daniel, et al.
Published: (2024)
by: Tompsett, Daniel, et al.
Published: (2024)
Causal machine learning for high-dimensional mediation analysis using interventional effects mapped to a target trial
by: Chen, Tong, et al.
Published: (2025)
by: Chen, Tong, et al.
Published: (2025)
Integration of aggregated data in causally interpretable meta-analysis by inverse weighting
by: Vo, Tat-Thang, et al.
Published: (2025)
by: Vo, Tat-Thang, et al.
Published: (2025)
High-Dimensional Extreme Quantile Regression
by: Tang, Yiwei, et al.
Published: (2024)
by: Tang, Yiwei, et al.
Published: (2024)
The incremental healthcare cost associated with cancer in Belgium: A registry‐based data analysis
by: Vanessa Gorasso, et al.
Published: (2024)
by: Vanessa Gorasso, et al.
Published: (2024)
Vector Quantile Regression on Manifolds
by: Pegoraro, Marco, et al.
Published: (2023)
by: Pegoraro, Marco, et al.
Published: (2023)
Mixture Quantiles Estimated by Constrained Linear Regression
by: Peng, Cheng, et al.
Published: (2023)
by: Peng, Cheng, et al.
Published: (2023)
Adaptive Test for High Dimensional Quantile Regression
by: Zhao, Ping, et al.
Published: (2025)
by: Zhao, Ping, et al.
Published: (2025)
Panel Quantile Regression with Common Shocks
by: Chiang, Harold D., et al.
Published: (2026)
by: Chiang, Harold D., et al.
Published: (2026)
Multiple change-point detection on the circle via isolation using permutation testing
by: Loizidou, Sophia, et al.
Published: (2026)
by: Loizidou, Sophia, et al.
Published: (2026)
Targeted learning of heterogeneous treatment effect curves for right censored or left truncated time-to-event data
by: Pryce, Matthew, et al.
Published: (2026)
by: Pryce, Matthew, et al.
Published: (2026)
Instrumental Variable methods to target Hypothetical Estimands with longitudinal repeated measures data: Application to the STEP 1 trial
by: Bowden, Jack, et al.
Published: (2024)
by: Bowden, Jack, et al.
Published: (2024)
Online Quantile Regression
by: Shen, Yinan, et al.
Published: (2024)
by: Shen, Yinan, et al.
Published: (2024)
Multi-Fidelity Quantile Regression
by: Liu, Yixiang, et al.
Published: (2026)
by: Liu, Yixiang, et al.
Published: (2026)
Spline Quantile Regression with Cubic and Linear Smoothing Splines
by: Li, Ta-Hsin
Published: (2026)
by: Li, Ta-Hsin
Published: (2026)
Sparse-Smooth Spatially Varying Coefficient Quantile Regression
by: Jian, Hou, et al.
Published: (2025)
by: Jian, Hou, et al.
Published: (2025)
Assumption-Lean Post-Integrated Inference with Surrogate Control Outcomes
by: Du, Jin-Hong, et al.
Published: (2024)
by: Du, Jin-Hong, et al.
Published: (2024)
Correcting the Coverage Bias of Quantile Regression
by: Gibbs, Isaac, et al.
Published: (2025)
by: Gibbs, Isaac, et al.
Published: (2025)
Laplace Approximations for Mixed-Effects and Gaussian Process Quantile Regression
by: Nava, Andrea, et al.
Published: (2026)
by: Nava, Andrea, et al.
Published: (2026)
Robust Mendelian Randomization Estimation using Weighted Quantile Regression
by: St-Pierre, Julien, et al.
Published: (2026)
by: St-Pierre, Julien, et al.
Published: (2026)
Quantile Residual Lifetime Regression for Multivariate Failure Time Data
by: Yu, Tonghui, et al.
Published: (2025)
by: Yu, Tonghui, et al.
Published: (2025)
Tight Distribution-Free Confidence Intervals for Local Quantile Regression
by: Jang, Jayoon, et al.
Published: (2023)
by: Jang, Jayoon, et al.
Published: (2023)
Similar Items
-
Robust evaluation of treatment effects in longitudinal studies with truncation by death or other intercurrent events
by: Baklicharov, Georgi, et al.
Published: (2025) -
Chasing Shadows: How Implausible Assumptions Skew Our Understanding of Causal Estimands
by: Vansteelandt, Stijn, et al.
Published: (2024) -
Assumption Lean Regression
by: Berk, Richard A., et al.
Published: (2018) -
On Doubly Robust Inference for Double Machine Learning in Semiparametric Regression
by: Dukes, Oliver, et al.
Published: (2021) -
On Weighted Orthogonal Learners for Heterogeneous Treatment Effects
by: Morzywolek, Pawel, et al.
Published: (2023)