Causal Inference Tools for Pharmacovigilance: Using Causal Graphs to Identify and Address Biases in Disproportionality Analysis.
- DOI
- 10.1007/s40264-025-01628-4
- Published
- 2026 Apr
- Container
- Drug safety
- Publisher
- Not recorded
- Open access
- yes
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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1007/s40264-025-01628-4,
title = {Causal Inference Tools for Pharmacovigilance: Using Causal Graphs to Identify and Address Biases in Disproportionality Analysis.},
author = {Fusaroli M and Mitchell J and Rudolph A and Rocca E and Fusaroli R},
year = {2026},
journal = {Drug safety},
doi = {10.1007/s40264-025-01628-4},
url = {https://doi.org/10.1007/s40264-025-01628-4}
}RIS
TY - JOUR TI - Causal Inference Tools for Pharmacovigilance: Using Causal Graphs to Identify and Address Biases in Disproportionality Analysis. AU - Fusaroli M AU - Mitchell J AU - Rudolph A AU - Rocca E AU - Fusaroli R PY - 2026 JO - Drug safety DO - 10.1007/s40264-025-01628-4 UR - https://doi.org/10.1007/s40264-025-01628-4 ER -
APA
M, F., J, M., A, R., E, R., & R, F. (2026). Causal Inference Tools for Pharmacovigilance: Using Causal Graphs to Identify and Address Biases in Disproportionality Analysis.. Drug safety. https://doi.org/10.1007/s40264-025-01628-4
Source records
- pubmed · retrieved 2026-09-27T08:51:05.977Z