Sensitivity analysis for inverse probability weighting estimators via the percentile bootstrap

30 November 2017

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

8 / 8 papers shown

Title
Confounding-Robust Policy Improvement with Human-AI Teams Ruijiang Gao Mingzhang Yin 24 3 0 13 Oct 2023
Distributionally Robust Causal Inference with Observational Data Dimitris Bertsimas Kosuke Imai Michael Lingzhi Li OOD 40 9 0 15 Oct 2022
Sensitivity Analysis for Marginal Structural Models Matteo Bonvini Edward H. Kennedy V. Ventura Larry A. Wasserman CML 14 13 0 10 Oct 2022
Scalable Sensitivity and Uncertainty Analysis for Causal-Effect Estimates of Continuous-Valued Interventions Andrew Jesson A. Douglas P. Manshausen Maelys Solal N. Meinshausen P. Stier Y. Gal Uri Shalit CML 13 26 0 21 Apr 2022
Combining Observational and Randomized Data for Estimating Heterogeneous Treatment Effects Tobias Hatt Jeroen Berrevoets Alicia Curth Stefan Feuerriegel M. Schaar CML 42 29 0 25 Feb 2022
Partial Identification with Noisy Covariates: A Robust Optimization Approach Wenshuo Guo Mingzhang Yin Yixin Wang Michael I. Jordan 26 19 0 22 Feb 2022
The $s$ -value: evaluating stability with respect to distributional shifts Suyash Gupta Dominik Rothenhausler 26 16 0 07 May 2021
Confounding-Robust Policy Improvement Nathan Kallus Angela Zhou CML OffRL 16 152 0 22 May 2018