23 citations · 33 across the 4 of their papers we have counts for
4 papers
MOCA: A Transformer-based Modular Causal Inference Framework with One-way Cross-attention and Cutting Feedback
Lei Wang, Debashis Ghosh
Causal effect estimation from observational data requires careful adjustment for confounding. Classical estimators such as inverse probability weighting and augmented inverse proba…
A Causal Roadmap for Generating High-Quality Real-World Evidence
Lauren E Dang, Susan Gruber, Hana Lee +23
Increasing emphasis on the use of real-world evidence (RWE) to support clinical policy and regulatory decision-making has led to a proliferation of guidance, advice, and frameworks…
An empirical process framework for covariate balance in causal inference
Efrén Cruz Cortés, Kevin Josey, Fan Yang +1
We propose a new perspective for the evaluation of matching procedures by considering the complexity of the function class they belong to. Under this perspective we provide theoret…
A Calibration Approach to Transportability and Data-Fusion with Observational Data
Kevin P. Josey, Fan Yang, Debashis Ghosh +1
Two important considerations in clinical research studies are proper evaluations of internal and external validity. While randomized clinical trials can overcome several threats to…