Reliable insights regarding medication outcomes from real world data- key principles of an evidence generation framework. - Rishi J. Desai; Sebastian Schneeweiss; Keith Marsolo; Shirley V. Wang; Robert Ball (AMIA, 2021)

Broadening the reach of the FDA Sentinel system: A roadmap for integrating electronic health record data in a causal analysis framework. - Rishi J. Desai; Michael E. Matheny; Kevin Johnson; Keith Marsolo; Lesley H. Curtis; Jennifer C. Nelson; Patrick J. Heagerty; Judith C. Maro; Jeffrey S. Brown; Sengwee Toh; Michael D. Nguyen; Robert Ball; et al. (npj Digit. Medicine, 2021)

High-dimensional multiple imputation (HDMI) for partially observed confounders including natural language processing-derived auxiliary covariates. - Janick Weberpals; Pamela A. Shaw; Kueiyu Joshua Lin; Richard Wyss; Joseph M. Plasek; Li Zhou 007; Kerry Ngan; Thomas DeRamus; Sudha R. Raman; Bradley G. Hammill; Hana Lee; Sengwee Toh; et al. (CoRR, 2024)

Probabilistic medical predictions of large language models. - Bowen Gu; Rishi J. Desai; Kueiyu Joshua Lin; Jie Yang (npj Digit. Medicine, 2024)

BRIDGE: Benchmarking Large Language Models for Understanding Real-world Clinical Practice Text. - Jiageng Wu; Bowen Gu; Ren Zhou; Kevin Xie; Douglas Snyder; Yixing Jiang; Valentina Carducci; Richard Wyss; Rishi J. Desai; Emily Alsentzer; Leo Anthony Celi; Adam Rodman; et al. (CoRR, 2025)

A chart review process aided by natural language processing and multi-wave adaptive sampling to expedite validation of code-based algorithms for large database studies. - Shirley V. Wang; Georg Hahn; Sushama Kattinakere Sreedhara; Mufaddal Mahesri; Haritha S. Pillai; Rajendra Aldis; Joyce Lii; Sarah K. Dutcher; Rhoda Eniafe; Jamal T. Jones; Keewan Kim; Jiwei He; et al. (CoRR, 2025)

Assessment of the conditional exchangeability assumption in causal machine learning models: a simulation study. - Gerard T. Portela; Jason B. Gibbons; Sebastian Schneeweiss; Rishi J. Desai (CoRR, 2025)