ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2206.10323
  4. Cited By
What Makes Forest-Based Heterogeneous Treatment Effect Estimators Work?

What Makes Forest-Based Heterogeneous Treatment Effect Estimators Work?

21 June 2022
Susanne Dandl
Torsten Hothorn
H. Seibold
Erik Sverdrup
Stefan Wager
A. Zeileis
    CML
ArXivPDFHTML

Papers citing "What Makes Forest-Based Heterogeneous Treatment Effect Estimators Work?"

5 / 5 papers shown
Title
Practical Guide for Causal Pathways and Sub-group Disparity Analysis
Practical Guide for Causal Pathways and Sub-group Disparity Analysis
Farnaz Kohankhaki
Shaina Raza
Oluwanifemi Bamgbose
D. Pandya
Elham Dolatabadi
CML
37
0
0
02 Jul 2024
Fairness Implications of Heterogeneous Treatment Effect Estimation with
  Machine Learning Methods in Policy-making
Fairness Implications of Heterogeneous Treatment Effect Estimation with Machine Learning Methods in Policy-making
Patrick Rehill
Nicholas Biddle
SyDa
CML
20
1
0
02 Sep 2023
Comparison of Methods that Combine Multiple Randomized Trials to
  Estimate Heterogeneous Treatment Effects
Comparison of Methods that Combine Multiple Randomized Trials to Estimate Heterogeneous Treatment Effects
Carly L Brantner
T. Nguyen
Tengjie Tang
Congwen Zhao
H. Hong
E. Stuart
12
3
0
28 Mar 2023
Heterogeneous Treatment Effect Estimation for Observational Data using
  Model-based Forests
Heterogeneous Treatment Effect Estimation for Observational Data using Model-based Forests
Susanne Dandl
Andreas Bender
Torsten Hothorn
CML
12
5
0
06 Oct 2022
Random Forest Missing Data Algorithms
Random Forest Missing Data Algorithms
Fei Tang
H. Ishwaran
48
515
0
19 Jan 2017
1