4 papers
Causal Effect Estimation with Learned Instrument Representations
Frances Dean, Jenna Fields, Radhika Bhalerao +2
Instrumental variable (IV) methods mitigate bias from unobserved confounding in observational causal inference but rely on the availability of a valid instrument, which can often b…
Statistical vs. Deep Learning Models for Estimating Substance Overdose Excess Mortality in the US
Sukanya Krishna, Marie-Laure Charpignon, Maimuna Majumder
Substance overdose mortality in the United States claimed over 80,000 lives in 2023, with the COVID-19 pandemic exacerbating existing trends through healthcare disruptions and beha…
Reflections from Research Roundtables at the Conference on Health, Inference, and Learning (CHIL) 2025
Emily Alsentzer, Marie-Laure Charpignon, Bill Chen +90
The 6th Annual Conference on Health, Inference, and Learning (CHIL 2025), hosted by the Association for Health Learning and Inference (AHLI), was held in person on June 25-27, 2025…
Investigating Primary Care Indications to Improve Electronic Health Record in Dementia Target Trial Emulation
Max Sunog, Colin Magdamo, Marie-Laure Charpignon +1
Missing data, inaccuracies in medication lists, and recording delays in electronic health records (EHR) are major limitations for target trial emulation (TTE), the process by which…