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"

14 / 14 papers shown

Title
A Neural Framework for Generalized Causal Sensitivity Analysis Dennis Frauen F. Imrie Alicia Curth Valentyn Melnychuk Stefan Feuerriegel M. Schaar CML 31 10 0 27 Nov 2023
Confounding-Robust Policy Improvement with Human-AI Teams Ruijiang Gao Mingzhang Yin 26 3 0 13 Oct 2023
A Convex Framework for Confounding Robust Inference Kei Ishikawa Naio He Takafumi Kanamori OffRL 17 0 0 21 Sep 2023
A Fast Bootstrap Algorithm for Causal Inference with Large Data Matthew Kosko Lung-Chuang Wang Michele Santacatterina CML 17 5 0 06 Feb 2023
Robust Design and Evaluation of Predictive Algorithms under Unobserved Confounding Ashesh Rambachan Amanda Coston Edward H. Kennedy 11 4 0 19 Dec 2022
Distributionally Robust Causal Inference with Observational Data Dimitris Bertsimas Kosuke Imai Michael Lingzhi Li OOD 51 9 0 15 Oct 2022
Sensitivity Analysis for Marginal Structural Models Matteo Bonvini Edward H. Kennedy V. Ventura Larry A. Wasserman CML 22 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 18 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 52 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 31 16 0 07 May 2021
Combining Observational and Experimental Datasets Using Shrinkage Estimators Evan T. R. Rosenman Guillaume W. Basse Art B. Owen Mike Baiocchi CML 16 61 0 16 Feb 2020
Interval Estimation of Individual-Level Causal Effects Under Unobserved Confounding Nathan Kallus Xiaojie Mao Angela Zhou CML 11 91 0 05 Oct 2018
Confounding-Robust Policy Improvement Nathan Kallus Angela Zhou CML OffRL 34 152 0 22 May 2018