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Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to
  Unobserved Confounding
v1v2 (latest)

Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding

3 March 2020
Victor Veitch
A. Zaveri
    CML
ArXiv (abs)PDFHTMLGithub (26★)

Papers citing "Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding"

6 / 6 papers shown
Title
Confounding-Robust Policy Improvement with Human-AI Teams
Confounding-Robust Policy Improvement with Human-AI Teams
Ruijiang Gao
Mingzhang Yin
409
4
0
13 Oct 2023
Machine Learning Methods Economists Should Know About
Machine Learning Methods Economists Should Know About
Susan Athey
Guido Imbens
86
681
0
24 Mar 2019
Sensitivity analysis for inverse probability weighting estimators via
  the percentile bootstrap
Sensitivity analysis for inverse probability weighting estimators via the percentile bootstrap
Qingyuan Zhao
Dylan S. Small
B. Bhattacharya
164
137
0
30 Nov 2017
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
182
288
0
09 Jul 2017
Sensitivity Analysis Without Assumptions
Sensitivity Analysis Without Assumptions
Peng Ding
T. VanderWeele
45
460
0
14 Jul 2015
BART: Bayesian additive regression trees
BART: Bayesian additive regression trees
H. Chipman
E. George
R. McCulloch
156
1,794
0
19 Jun 2008
1