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Feature selection in stratification estimators of causal effects:
  lessons from potential outcomes, causal diagrams, and structural equations

Feature selection in stratification estimators of causal effects: lessons from potential outcomes, causal diagrams, and structural equations

23 September 2022
P. R. Hahn
Andrew Herren
    CML
ArXiv (abs)PDFHTML

Papers citing "Feature selection in stratification estimators of causal effects: lessons from potential outcomes, causal diagrams, and structural equations"

3 / 3 papers shown
Title
New User Event Prediction Through the Lens of Causal Inference
New User Event Prediction Through the Lens of Causal Inference
H. Yuchi
Shixiang Zhu
Li Dong
Yigit M. Arisoy
Matthew C. Spencer
79
0
0
08 Jul 2024
A Bayesian Solution to the M-Bias Problem
A Bayesian Solution to the M-Bias Problem
D. Rohde
CML
39
1
0
17 Jun 2019
To Adjust or Not to Adjust? Sensitivity Analysis of M-Bias and
  Butterfly-Bias
To Adjust or Not to Adjust? Sensitivity Analysis of M-Bias and Butterfly-Bias
Peng Ding
Luke W. Miratrix
CML
66
124
0
02 Aug 2014
1