Causal Inference

All research related to Causal Inference. A full list of topics is available on my research page.

1. 📄 When no answer is better than a wrong answer: a causal perspective on batch effects

   Eric W. Bridgeford, Michael Powell, Gregory Kiar, Stephanie Noble, Jaewon Chung, Sambit Panda, Ross Lawrence, Ting Xu, Michael Milham, Brian Caffo, Joshua T. Vogelstein
   Imaging Neuroscience, 2025

   Models batch effects as causal effects, and introduces approaches that leverage causal machinery to mitigate these effects.

2. 📝 Learning sources of variability from high-dimensional observational studies

   Eric W. Bridgeford, Jaewon Chung, Brian Gilbert, Sambit Panda, Adam Li, Cencheng Shen, Alexandra Badea, Brian Caffo, Joshua T. Vogelstein
   arXiv, 2023

   Generalizes causal estimators to arbitrary dimensional space and uses this to develop a new test (Causal CDcorr).