Causal Subgroup Discovery
Last updated on
Mon, May 16, 2022
Nima Hejazi
Assistant Professor of Biostatistics
My research lies at the intersection of causal inference and machine learning, developing flexible methodology for statistical inference tailored to modern experiments and observational studies in the biomedical and public health sciences.
Related
Publications
A framework for causal segmentation analysis with machine learning in large-scale digital experiments
We present an end-to-end methodological framework for causal segment discovery that aims to uncover differential impacts of treatments …
Talks
A Framework for Causal Segmentation Analysis with Machine Learning in Large-Scale Digital Experiments
We present an end-to-end methodological framework for causal segment discovery that aims to uncover differential impacts of treatments …
Fri, Nov 5, 2021 2:30 PM
Boston, Massachusetts, United States (remote due to COVID-19)