Rishi J. Desai

According to our database, Rishi J. Desai authored at least 9 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Strengthening inferential studies in the FDA Sentinel initiative: results from a methodological demonstration project.

Rishi J. Desai, Janick Weberpals, Haritha S. Pillai, Adebola Ajao, Mukund Desibhatla, Rebecca Hawrusik, José J. Hernández-Muñoz, Chanelle Jones, Jamal T. Jones, Joyce Lii, Jie Li, Jennifer G. Lyons, Ryan Schoeplein, Fatma M. Shebl, Sengwee Toh, Elisabetta Patorno, Sebastian Schneeweiss

npj Digit. Medicine, 2026

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, October, 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, Hana Lee, Sengwee Toh, Rishi J. Desai, Jie Yang

CoRR, July, 2025

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, Sebastian Schneeweiss, Jonathan H. Chen, Santiago Romero-Brufau, Kueiyu Joshua Lin, Jie Yang

CoRR, April, 2025

2024

Probabilistic medical predictions of large language models.

Bowen Gu, Rishi J. Desai, Kueiyu Joshua Lin, Jie Yang

npj Digit. Medicine, 2024

Probabilistic Medical Predictions of Large Language Models.

Bowen Gu, Rishi J. Desai, Kueiyu Joshua Lin, Jie Yang

CoRR, 2024

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, Kerry Ngan, Thomas DeRamus, Sudha R. Raman, Bradley G. Hammill, Hana Lee, Sengwee Toh, John G. Connolly, Kimberly J. Dandreo, Fang Tian, Wei Liu, Jie Li, José J. Hernández-Muñoz, Sebastian Schneeweiss, Rishi J. Desai

CoRR, 2024

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, Gerald J. Dal Pan, Shirley V. Wang, Joshua J. Gagne, Sebastian Schneeweiss

npj Digit. Medicine, 2021

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

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021