Model driven method for exploring individual and confounding effects in spontaneous adverse event reporting databases
Author:
Affiliation:
1. Department of Pharmacy, The Second Affiliated Hospital of Soochow University, Suzhou, China
Funder
Pre-research fund of The Second Affiliated Hospital of Soochow University
Beijing Great Physician Commonweal Foundation
Publisher
Informa UK Limited
Subject
Pharmacology (medical),General Medicine
Link
https://www.tandfonline.com/doi/pdf/10.1080/14740338.2023.2293200
Reference22 articles.
1. In Silico Pharmacoepidemiologic Evaluation of Drug-Induced Cardiovascular Complications Using Combined Classifiers
2. Cardiovascular Toxicities Associated with Anaplastic Lymphoma Kinase Inhibitors: A Disproportionality Analysis of the WHO Pharmacovigilance Database (VigiBase)
3. Pneumocystis jirovecii pneumonia associated with immune checkpoint inhibitors: A systematic literature review of published case reports and disproportionality analysis based on the FAERS database
4. Safety of Marketed Cancer Supportive Care Biosimilars in the US: A Disproportionality Analysis Using the Food and Drug Administration Adverse Event Reporting System (FAERS) Database
5. Alleged isotretinoin-associated inflammatory bowel disease: Disproportionate reporting by attorneys to the Food and Drug Administration Adverse Event Reporting System
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