Combining Observational and Experimental Datasets Using Shrinkage
Estimators

Combining Observational and Experimental Datasets Using Shrinkage Estimators

16 February 2020

Evan T. R. Rosenman

Guillaume W. Basse

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

10 / 10 papers shown

Title
A Cautionary Tale on Integrating Studies with Disparate Outcome Measures for Causal Inference Harsh Parikh Trang Quynh Nguyen Elizabeth A. Stuart Kara E. Rudolph Caleb H. Miles CML 17 0 0 16 May 2025
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 19 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 29 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