Bridging Finite and Super Population Causal Inference

28 February 2017

Papers citing "Bridging Finite and Super Population Causal Inference"

9 / 9 papers shown

Title
Some theoretical foundations for the design and analysis of randomized experiments Lei Shi Xinran Li 51 2 0 14 Jun 2024
Neyman Meets Causal Machine Learning: Experimental Evaluation of Individualized Treatment Rules Michael Lingzhi Li Kosuke Imai CML 92 1 0 25 Apr 2024
Inference in Experiments with Matched Pairs and Imperfect Compliance Yuehao Bai Hongchang Guo A. Shaikh Max Tabord-Meehan 18 4 0 24 Jul 2023
Using Auxiliary Data to Boost Precision in the Analysis of A/B Tests on an Online Educational Platform: New Data and New Results Adam C. Sales Ethan Prihar Johann A. Gagnon-Bartsch Neil T. Heffernan CML 20 3 0 09 Jun 2023
Sample Constrained Treatment Effect Estimation Raghavendra Addanki David Arbour Tung Mai Cameron Musco Anup B. Rao 49 7 0 12 Oct 2022
The Frisch--Waugh--Lovell Theorem for Standard Errors Peng Ding 39 15 0 14 Sep 2020
Stable discovery of interpretable subgroups via calibration in causal studies Raaz Dwivedi Yan Shuo Tan Briton Park Mian Wei Kevin Horgan D. Madigan Bin Yu CML 54 30 0 23 Aug 2020
Gaussian Prepivoting for Finite Population Causal Inference P. Cohen Colin B. Fogarty 23 26 0 16 Feb 2020
Sampling-based randomized designs for causal inference under the potential outcomes framework Zach Branson Tirthankar Dasgupta CML 31 7 0 05 Aug 2018