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Selective inference for effect modification via the lasso
v1v2v3v4 (latest)

Selective inference for effect modification via the lasso

22 May 2017
Qingyuan Zhao
Dylan S. Small
Ashkan Ertefaie
    CML
ArXiv (abs)PDFHTML

Papers citing "Selective inference for effect modification via the lasso"

13 / 13 papers shown
Nonparametric estimation of a covariate-adjusted counterfactual
  treatment regimen response curve
Nonparametric estimation of a covariate-adjusted counterfactual treatment regimen response curve
Ashkan Ertefaie
Luke Duttweiler
Brent A. Johnson
Mark van der Laan
226
0
0
28 Sep 2023
The Connection Between R-Learning and Inverse-Variance Weighting for
  Estimation of Heterogeneous Treatment Effects
The Connection Between R-Learning and Inverse-Variance Weighting for Estimation of Heterogeneous Treatment Effects
Aaron Fisher
CML
407
3
0
19 Jul 2023
Stable Probability Weighting: Large-Sample and Finite-Sample Estimation
  and Inference Methods for Heterogeneous Causal Effects of Multivalued
  Treatments Under Limited Overlap
Stable Probability Weighting: Large-Sample and Finite-Sample Estimation and Inference Methods for Heterogeneous Causal Effects of Multivalued Treatments Under Limited OverlapSocial Science Research Network (SSRN), 2023
Ganesh Karapakula
310
0
0
13 Jan 2023
Optimizing Pessimism in Dynamic Treatment Regimes: A Bayesian Learning
  Approach
Optimizing Pessimism in Dynamic Treatment Regimes: A Bayesian Learning ApproachInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Yunzhe Zhou
Zhengling Qi
C. Shi
Lexin Li
OffRL
318
9
0
26 Oct 2022
Valid Inference after Causal Discovery
Valid Inference after Causal DiscoveryJournal of the American Statistical Association (JASA), 2022
Paula Gradu
Tijana Zrnic
Yixin Wang
Michael I. Jordan
CML
459
17
0
11 Aug 2022
Image-based Treatment Effect Heterogeneity
Image-based Treatment Effect HeterogeneityCLEaR (CLEaR), 2022
Connor Jerzak
Fredrik D. Johansson
Adel Daoud
629
30
0
13 Jun 2022
Feature Selection for Discovering Distributional Treatment Effect
  Modifiers
Feature Selection for Discovering Distributional Treatment Effect ModifiersConference on Uncertainty in Artificial Intelligence (UAI), 2022
Yoichi Chikahara
M. Yamada
H. Kashima
CML
492
8
0
01 Jun 2022
Minimax rates for heterogeneous causal effect estimation
Minimax rates for heterogeneous causal effect estimationAnnals of Statistics (Ann. Stat.), 2022
Edward H. Kennedy
Sivaraman Balakrishnan
James M. Robins
Larry A. Wasserman
CML
441
45
0
02 Mar 2022
Shrinkage Bayesian Causal Forests for Heterogeneous Treatment Effects
  Estimation
Shrinkage Bayesian Causal Forests for Heterogeneous Treatment Effects EstimationJournal of Computational And Graphical Statistics (JCGS), 2021
A. Caron
G. Baio
I. Manolopoulou
CML
220
22
0
12 Feb 2021
Learning Optimal Distributionally Robust Individualized Treatment Rules
Learning Optimal Distributionally Robust Individualized Treatment Rules
Weibin Mo
Zhengling Qi
Yufeng Liu
261
53
0
26 Jun 2020
Selecting Biomarkers for building optimal treatment selection rules
  using Kernel Machines
Selecting Biomarkers for building optimal treatment selection rules using Kernel Machines
Sayan Dasgupta
Ying Huang
65
5
0
06 Jun 2019
Subgroup Identification Using the personalized Package
Subgroup Identification Using the personalized Package
J. Huling
Menggang Yu
CML
237
27
0
21 Sep 2018
Quasi-Oracle Estimation of Heterogeneous Treatment Effects
Quasi-Oracle Estimation of Heterogeneous Treatment Effects
Xinkun Nie
Stefan Wager
CML
709
822
0
13 Dec 2017
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