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Propensity score models are better when post-calibrated

Propensity score models are better when post-calibrated

2 November 2022
R. Gutman
Ehud Karavani
Y. Shimoni
ArXiv (abs)PDFHTML

Papers citing "Propensity score models are better when post-calibrated"

5 / 5 papers shown
Title
From Uncertainty to Precision: Enhancing Binary Classifier Performance
  through Calibration
From Uncertainty to Precision: Enhancing Binary Classifier Performance through Calibration
Agathe Fernandes Machado
Arthur Charpentier
Emmanuel Flachaire
Ewen Gallic
Franccois Hu
124
0
0
12 Feb 2024
Hierarchical Bias-Driven Stratification for Interpretable Causal Effect
  Estimation
Hierarchical Bias-Driven Stratification for Interpretable Causal Effect Estimation
Lucile Ter-Minassian
Liran Szlak
Ehud Karavani
Chris Holmes
Y. Shimoni
75
0
0
31 Jan 2024
Diagnosing Model Performance Under Distribution Shift
Diagnosing Model Performance Under Distribution Shift
Tiffany Cai
Hongseok Namkoong
Steve Yadlowsky
130
36
0
03 Mar 2023
Undersmoothing Causal Estimators with Generative Trees
Undersmoothing Causal Estimators with Generative Trees
Damian Machlanski
Spyridon Samothrakis
Paul Clarke
CML
101
1
0
16 Mar 2022
Automated versus do-it-yourself methods for causal inference: Lessons
  learned from a data analysis competition
Automated versus do-it-yourself methods for causal inference: Lessons learned from a data analysis competition
Vincent Dorie
J. Hill
Uri Shalit
M. Scott
D. Cervone
CML
283
288
0
09 Jul 2017
1