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Evaluating (weighted) dynamic treatment effects by double machine
  learning
v1v2v3v4v5 (latest)

Evaluating (weighted) dynamic treatment effects by double machine learning

1 December 2020
Hugo Bodory
M. Huber
Lukávs Lafférs
    CML
ArXiv (abs)PDFHTML

Papers citing "Evaluating (weighted) dynamic treatment effects by double machine learning"

11 / 11 papers shown
Double Machine Learning meets Panel Data -- Promises, Pitfalls, and
  Potential Solutions
Double Machine Learning meets Panel Data -- Promises, Pitfalls, and Potential Solutions
Jonathan Fuhr
Dominik Papies
228
3
0
02 Sep 2024
Inverting estimating equations for causal inference on quantiles
Inverting estimating equations for causal inference on quantilesBiometrika (Biometrika), 2024
Chao Cheng
Fan Li
CML
167
3
0
02 Jan 2024
Doubly Robust Estimation of Direct and Indirect Quantile Treatment
  Effects with Machine Learning
Doubly Robust Estimation of Direct and Indirect Quantile Treatment Effects with Machine Learning
Yu‐Chin Hsu
M. Huber
Yu-Min Yen
CML
243
2
0
03 Jul 2023
A Meta-Learning Method for Estimation of Causal Excursion Effects to Assess Time-Varying Moderation
A Meta-Learning Method for Estimation of Causal Excursion Effects to Assess Time-Varying ModerationBiometrics (Biometrics), 2023
Jieru Shi
Walter Dempsey
CML
283
7
0
28 Jun 2023
Semi-parametric inference based on adaptively collected data
Semi-parametric inference based on adaptively collected data
Licong Lin
K. Khamaru
Martin J. Wainwright
OffRL
367
7
0
05 Mar 2023
How causal machine learning can leverage marketing strategies: Assessing
  and improving the performance of a coupon campaign
How causal machine learning can leverage marketing strategies: Assessing and improving the performance of a coupon campaignPLoS ONE (PLoS ONE), 2022
Henrika Langen
M. Huber
CML
261
24
0
22 Apr 2022
Automatic Debiased Machine Learning for Dynamic Treatment Effects and
  General Nested Functionals
Automatic Debiased Machine Learning for Dynamic Treatment Effects and General Nested Functionals
Victor Chernozhukov
Whitney Newey
Rahul Singh
Vasilis Syrgkanis
CMLAI4CE
395
19
0
25 Mar 2022
Sequential Kernel Embedding for Mediated and Time-Varying Dose Response Curves
Sequential Kernel Embedding for Mediated and Time-Varying Dose Response Curves
Rahul Singh
Liyuan Xu
Arthur Gretton
514
5
0
06 Nov 2021
Estimating the Long-Term Effects of Novel Treatments
Estimating the Long-Term Effects of Novel TreatmentsNeural Information Processing Systems (NeurIPS), 2021
Keith Battocchi
E. Dillon
Maggie Hei
Greg Lewis
Miruna Oprescu
Vasilis Syrgkanis
CML
294
12
0
15 Mar 2021
Dynamic covariate balancing: estimating treatment effects over time with potential local projections
Dynamic covariate balancing: estimating treatment effects over time with potential local projections
Davide Viviano
Jelena Bradic
408
1
0
01 Mar 2021
Double machine learning for sample selection models
Double machine learning for sample selection models
Michela Bia
M. Huber
Lukáš Lafférs
279
39
0
30 Nov 2020
1
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