A Review of Generalizability and Transportability

23 February 2021

Papers citing "A Review of Generalizability and Transportability"

25 / 25 papers shown

Title
Towards Representation Learning for Weighting Problems in Design-Based Causal Inference Oscar Clivio Avi Feller Chris Holmes CML OOD 25 3 0 24 Sep 2024
Combining Experimental and Historical Data for Policy Evaluation Ting Li Chengchun Shi Qianglin Wen Yang Sui Yongli Qin Chunbo Lai Hongtu Zhu OffRL 46 0 0 01 Jun 2024
A Scoping Review of Earth Observation and Machine Learning for Causal Inference: Implications for the Geography of Poverty Kazuki Sakamoto Connor Jerzak Adel Daoud 32 3 0 30 May 2024
Towards Generalizing Inferences from Trials to Target Populations Melody Y Huang Harsh Parikh 19 2 0 26 Feb 2024
Hidden yet quantifiable: A lower bound for confounding strength using randomized trials Piersilvio De Bartolomeis Javier Abad Konstantin Donhauser Fanny Yang CML 35 7 0 06 Dec 2023
Towards a Transportable Causal Network Model Based on Observational Healthcare Data Alice Bernasconi Alessio Zanga Peter J.F. Lucas M. Scutari Fabio Stella CML OOD 10 2 0 13 Nov 2023
Why Do Probabilistic Clinical Models Fail To Transport Between Sites? Thomas A. Lasko Eric V. Strobl William W Stead OOD 38 7 0 08 Nov 2023
Principles from Clinical Research for NLP Model Generalization Aparna Elangovan Jiayuan He Yuan Li Karin Verspoor CML 27 3 0 07 Nov 2023
Externally Valid Policy Evaluation Combining Trial and Observational Data Sofia Ek Dave Zachariah 27 0 0 23 Oct 2023
Constructing Synthetic Treatment Groups without the Mean Exchangeability Assumption Yuhang Zhang Yue Liu Zhihua Zhang 21 0 0 28 Sep 2023
Causal Effect Estimation after Propensity Score Trimming with Continuous Treatments Zach Branson Edward H. Kennedy Sivaraman Balakrishnan Larry Wasserman CML 33 4 0 01 Sep 2023
Multi-Study R-Learner for Estimating Heterogeneous Treatment Effects Across Studies Using Statistical Machine Learning Cathy Shyr Boyu Ren Prasad Patil Giovanni Parmigiani CML 24 1 0 01 Jun 2023
A Causal Inference Framework for Leveraging External Controls in Hybrid Trials M. Valancius Herbert Pang Jiawen Zhu Stephen R. Cole M. J. Funk Michael R. Kosorok CML 35 3 0 15 May 2023
Out-of-Variable Generalization for Discriminative Models Siyuan Guo J. Wildberger Bernhard Schölkopf OOD CML 30 2 0 16 Apr 2023
Falsification of Internal and External Validity in Observational Studies via Conditional Moment Restrictions Zeshan Hussain M. Shih Michael Oberst Ilker Demirel D. Sontag 28 7 0 30 Jan 2023
Efficient and robust transfer learning of optimal individualized treatment regimes with right-censored survival data Pan Zhao Julie Josse Shu Yang OffRL 29 3 0 13 Jan 2023
Falsification before Extrapolation in Causal Effect Estimation Zeshan Hussain Michael Oberst M. Shih David Sontag CML 42 8 0 27 Sep 2022
Generalizing experimental findings: identification beyond adjustments J. Karvanen CML 13 0 0 14 Jun 2022
Improving generalization of machine learning-identified biomarkers with causal modeling: an investigation into immune receptor diagnostics Milena Pavlović Ghadi S. Al Hajj Chakravarthi Kanduri J. Pensar Mollie E. Wood L. Sollid Victor Greiff G. K. Sandve CML OOD AI4CE 21 4 0 20 Apr 2022
Federated Adaptive Causal Estimation (FACE) of Target Treatment Effects L. Han Jue Hou Kelly Cho R. Duan Tianxi Cai CML FedML CVBM 26 32 0 17 Dec 2021
Conditional Cross-Design Synthesis Estimators for Generalizability in Medicaid Irina Degtiar T. Layton Jacob Wallace Sherri Rose CML 38 5 0 27 Sep 2021
Minimax Rates and Adaptivity in Combining Experimental and Observational Data Shuxiao Chen B. Zhang T. Ye CML 12 22 0 22 Sep 2021
Considerations Across Three Cultures: Parametric Regressions, Interpretable Algorithms, and Complex Algorithms A. Eloyan Sherri Rose TPM 23 0 0 14 Apr 2021
A Tree-based Model Averaging Approach for Personalized Treatment Effect Estimation from Heterogeneous Data Sources Xiaoqing Ellen Tan Chung Chang Ling Zhou Lu Tang CML 26 18 0 10 Mar 2021
A Unifying Causal Framework for Analyzing Dataset Shift-stable Learning Algorithms Adarsh Subbaswamy Bryant Chen S. Saria OOD 11 18 0 27 May 2019