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Sensitivity analysis for inverse probability weighting estimators via
the percentile bootstrap

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Sensitivity analysis for inverse probability weighting estimators via the percentile bootstrap

30 November 2017

B. Bhattacharya

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Papers citing "Sensitivity analysis for inverse probability weighting estimators via the percentile bootstrap"

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Title
Deep Sensitivity Analysis for Objective-Oriented Combinatorial Optimization Ganga Gireesan N. Pillai Michael J. Rothrock B. Nanduri Zhiqian Chen Mahalingam Ramkumar 49 1 0 28 Feb 2024
Hidden yet quantifiable: A lower bound for confounding strength using randomized trials Piersilvio De Bartolomeis Javier Abad Konstantin Donhauser Fanny Yang CML 113 8 0 06 Dec 2023
Confounding-Robust Policy Improvement with Human-AI Teams Ruijiang Gao Mingzhang Yin 479 4 0 13 Oct 2023
Sharp Bounds for Generalized Causal Sensitivity Analysis Dennis Frauen Valentyn Melnychuk Stefan Feuerriegel CML 191 22 0 26 May 2023
A Fast Bootstrap Algorithm for Causal Inference with Large Data Matthew Kosko Lung-Chuang Wang Michele Santacatterina CML 65 6 0 06 Feb 2023
Robust Design and Evaluation of Predictive Algorithms under Unobserved Confounding Ashesh Rambachan Amanda Coston Edward H. Kennedy 201 5 0 19 Dec 2022
Distributionally Robust Causal Inference with Observational Data Dimitris Bertsimas Kosuke Imai Michael Lingzhi Li OOD 143 9 0 15 Oct 2022
Sensitivity Analysis for Marginal Structural Models Matteo Bonvini Edward H. Kennedy V. Ventura Larry A. Wasserman CML 136 14 0 10 Oct 2022
New-Onset Diabetes Assessment Using Artificial Intelligence-Enhanced Electrocardiography N. Jethani A. Puli Hao Zhang L. Garber Lior Jankelson Yindalon Aphinyanagphongs Rajesh Ranganath 43 3 0 05 May 2022
Towards Robust Off-policy Learning for Runtime Uncertainty Da Xu Yuting Ye Chuanwei Ruan Bo Yang OffRL 80 5 0 27 Feb 2022
Combining Observational and Randomized Data for Estimating Heterogeneous Treatment Effects Tobias Hatt Jeroen Berrevoets Alicia Curth Stefan Feuerriegel M. Schaar CML 152 35 0 25 Feb 2022
Partial Identification with Noisy Covariates: A Robust Optimization Approach Wenshuo Guo Mingzhang Yin Yixin Wang Michael I. Jordan 238 20 0 22 Feb 2022
The $s$ -value: evaluating stability with respect to distributional shifts Suyash Gupta Dominik Rothenhausler 150 18 0 07 May 2021
Sharp Sensitivity Analysis for Inverse Propensity Weighting via Quantile Balancing Jacob Dorn Kevin Guo 245 63 0 08 Feb 2021
Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved ConfoundingNeural Information Processing Systems (NeurIPS), 2025 Victor Veitch A. Zaveri CML 209 58 0 03 Mar 2020
Interval Estimation of Individual-Level Causal Effects Under Unobserved Confounding Nathan Kallus Xiaojie Mao Angela Zhou CML 145 99 0 05 Oct 2018
Confounding-Robust Policy Improvement Nathan Kallus Angela Zhou CML OffRL 437 158 0 22 May 2018