Combining Observational and Experimental Datasets Using Shrinkage Estimators

16 February 2020

Papers citing "Combining Observational and Experimental Datasets Using Shrinkage Estimators"

9 / 9 papers shown

Title
Falsification of Internal and External Validity in Observational Studies via Conditional Moment Restrictions Zeshan Hussain M. Shih Michael Oberst Ilker Demirel D. Sontag 34 7 0 30 Jan 2023
Strategy to select most efficient RCT samples based on observational data Wenqi Shi Xi Lin 16 0 0 09 Nov 2022
Falsification before Extrapolation in Causal Effect Estimation Zeshan Hussain Michael Oberst M. Shih David Sontag CML 45 8 0 27 Sep 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
Conditional Cross-Design Synthesis Estimators for Generalizability in Medicaid Irina Degtiar T. Layton Jacob Wallace Sherri Rose CML 46 5 0 27 Sep 2021
Federated Causal Inference in Heterogeneous Observational Data Ruoxuan Xiong Allison Koenecke Michael A. Powell Zhu Shen Joshua T. Vogelstein Susan Athey FedML CML 26 45 0 25 Jul 2021
Causal Decision Making and Causal Effect Estimation Are Not the Same... and Why It Matters Carlos Fernández-Loría F. Provost CML 11 42 0 08 Apr 2021
Multi-Source Causal Inference Using Control Variates Wenshuo Guo S. Wang Peng Ding Yixin Wang Michael I. Jordan CML 55 18 0 30 Mar 2021
A Review of Generalizability and Transportability Irina Degtiar Sherri Rose CML 34 210 0 23 Feb 2021