High‐Throughput Screening Using the Self‐Controlled Tree‐Based Scan Statistic to Identify Medications Associated With Hospitalization for Severe Acute Liver Injury
High-throughput screening using tree-based scan statistics detected potentially hepatotoxic drugs for investigation in future pharmacoepidemiology studies.
Authors
- Dena M. Carbonari (ORCID: https://orcid.org/0000-0003-0310-270X)
- Christopher T. Rentsch (ORCID: https://orcid.org/0000-0002-1408-7907)
- Charles E. Leonard (ORCID: https://orcid.org/0000-0002-5092-9657)
- Vincent Lo Re (ORCID: https://orcid.org/0000-0001-7955-0600)
- Judith C. Maro (ORCID: https://orcid.org/0000-0001-9900-2142)
- Craig Newcomb
Institutions
- United States Department of Veterans Affairs (US)
- Harvard University (US)
- Yale University (US)
- VA Connecticut Healthcare System (US)
- London School of Hygiene & Tropical Medicine (GB)
- Harvard Pilgrim Health Care (US)
- University of Pennsylvania (US)
Publication Details
- Journal
- Pharmacoepidemiology and Drug Safety
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1002/pds.70275
- Primary Topic
- Drug-Induced Hepatotoxicity and Protection
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- U.S. Department of Veterans Affairs
- National Cancer Institute