Anes A, et al. The European Network of Centres for Pharmacoepidemiology and Pharmacovigilance (ENCePP)-Guide on Methodological Standards in Pharmacoepidemiology, revision 11. European Medicines Agency (2023). p. 72–76

Edwards IR, Lindquist M. The Who database—II. Drug Inf J. 1992;26(4):481–6.

Article  Google Scholar 

Kumar A. The newly available FAERS public dashboard: implications for health care professionals. Hosp Pharm. 2019;54(2):75–7.

Article  PubMed  Google Scholar 

Avery AJ, et al. Evaluation of patient reporting of adverse drug reactions to the UK ‘Yellow Card Scheme’: literature review, descriptive and qualitative analyses, and questionnaire surveys. Health Technol Assess. 2011;15(20):1–234.

Article  CAS  PubMed  Google Scholar 

Lardon J, et al. Evaluating Twitter as a complementary data source for pharmacovigilance. Expert Opin Drug Saf. 2018;17(8):763–74.

Article  PubMed  Google Scholar 

Gaucher L, et al. Pharmacovigilance studies without a priori hypothesis systematic review highlights inappropriate multiple testing correction procedures. J Clin Epidemiol. 2023. https://doi.org/10.1016/j.jclinepi.2023.08.010.

Article  PubMed  Google Scholar 

Cutroneo PM, et al. Conducting and interpreting disproportionality analyses derived from spontaneous reporting systems. Front Drug Saf Regul. 2024;3:1323057.

Article  PubMed  PubMed Central  Google Scholar 

Evans SJW, Waller PC, Davis S. Use of proportional reporting ratios (PRRs) for signal generation from spontaneous adverse drug reaction reports. Pharmacoepidemiol Drug Saf. 2001;10(6):483–6.

Article  CAS  PubMed  Google Scholar 

Rothman KJ, Lanes S, Sacks ST. The reporting odds ratio and its advantages over the proportional reporting ratio. Pharmacoepidemiol Drug Saf. 2004;13(8):519–23.

Article  PubMed  Google Scholar 

Gelman A, et al. Bayesian data analysis. Chapman and Hall/CRC; 1995.

Book  Google Scholar 

Heo SJ, Jung I. Extended multi-item gamma Poisson shrinker methods based on the zero-inflated Poisson model for post market drug safety surveillance. Stat Med. 2020;39(30):4636–50. https://doi.org/10.1002/sim.8745.

Article  PubMed  Google Scholar 

Dumouchel W. Bayesian data mining in large frequency tables, with an application to the FDA spontaneous reporting system. Am Stat. 1999;53(3):177–90. https://doi.org/10.1080/00031305.1999.10474456.

Article  Google Scholar 

Orre R, et al. Bayesian neural networks with confidence estimations applied to data mining. Comput Stat Data Anal. 2000;34(4):473–93. https://doi.org/10.1016/S0167-9473(99)00114-0.

Article  Google Scholar 

Bate A, et al. A Bayesian neural network method for adverse drug reaction signal generation. Eur J Clin Pharmacol. 1998;54:315–21.

Article  CAS  PubMed  Google Scholar 

Lukose, Lipin, et al. Uncovering False Alarms: Examining Biases and Confounders in Disproportionality Analysis. Signal Analysis in Pharmacovigilance. CRC Press, 2024. 73–94.

Lawrence Gould A. Practical pharmacovigilance analysis strategies. Pharmacoepidemiol Drug Safe. 2003;12:559–74. https://doi.org/10.1002/pds.771.

Article  Google Scholar 

Pariente A, et al. A potential competition bias in the detection of safety signals from spontaneous reporting databases. Pharmacoepidemiol Drug Saf. 2010;19(11):1166–71.

Article  PubMed  Google Scholar 

Wang H-W, et al. An experimental investigation of masking in the US FDA adverse event reporting system database. Drug Saf. 2010;33:1117–33.

Article  PubMed  Google Scholar 

Maignen F, Hauben M, Hung E, Holle LV, Dogne JM. A conceptual approach to the masking effect of measures of disproportionality. Pharmacoepidemiol Drug Saf. 2014;23(2):208–17.

Article  PubMed  Google Scholar 

Alkabbani W, Gamble JM. Active-comparator restricted disproportionality analysis for pharmacovigilance signal detection studies of chronic disease medications: an example using sodium/glucose cotransporter 2 inhibitors. Br J Clin Pharmacol. 2023;89(2):431–9.

Article  CAS  PubMed  Google Scholar 

Tatonetti NP, Ye PP, Daneshjou R, Altman RB. Data-driven prediction of drug effects and interactions. Sci Transl Med. 2012;4(125):125ra31-125ra31.

Article  Google Scholar 

Dijkstra L, Garling M, Foraita R, Pigeot I. Adverse drug reaction or innocent bystander? A systematic comparison of statistical discovery methods for spontaneous reporting systems. Pharmacoepidemiol Drug Saf. 2020;29(4):396–403. https://doi.org/10.1002/pds.4970.

Article  PubMed  Google Scholar 

Brooks S. Markov chain Monte Carlo method and its application. J R Stat Soc Ser D (Stat). 1998;47(1):69–100.

Google Scholar 

Hoffman MD, Gelman A. The No-U-Turn sampler: adaptively setting path lengths in Hamiltonian Monte Carlo. J Mach Learn Res. 2014;15(1):1593–623.

Google Scholar 

Stan Development Team. Stan modelling language users guide and reference manual, V 2.35. 2024. https://mc-stan.org. Accessed 15 Apr 2025.

Abril-Pla, Oriol, et al. PyMC: a modern, and comprehensive probabilistic programming framework in Python. PeerJ Computer Science 9 (2023): e1516.

Gelfand AE. Gibbs sampling. J Am Stat Assoc. 2000;95(452):1300–4.

Article  Google Scholar 

Chib S, Greenberg E. Understanding the metropolis-hastings algorithm. Am Stat. 1995;49(4):327–35.

Article  Google Scholar 

Riddell A, Hartikainen A, Carter M. PyStan (3.0.0). (2021). https://pypi.org/project/pystan. Accessed 15 Apr 2025.

Kontsioti E, et al. A reference set of clinically relevant adverse drug–drug interactions. Sci Data. 2022;9(1):72.

Article  PubMed  PubMed Central  Google Scholar 

Beery, D. “vigipy” GitHub repository. https://github.com/Shakesbeery/vigipy. Accessed 15 Apr 2025.

Fawcett T. An introduction to ROC analysis. Pattern Recognit Lett. 2006;27(8):861–74.

Article  Google Scholar 

Antkiewicz-Michaluk L, et al. Reduction of morphine dependence and potentiation of analgesia by chronic co-administration of nifedipine. Psychopharmacology. 1993;111:457–64.

Article  CAS  PubMed  Google Scholar 

Naidu PS, Singh A, Kulkarni SK. Carvedilol attenuates neuroleptic-induced orofacial dyskinesia: possible antioxidant mechanisms. Br J Pharmacol. 2002;136(2):193–200.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Jimenez XF, Sundararajan T, Covington EC. A systematic review of atypical antipsychotics in chronic pain management: olanzapine demonstrates potential in central sensitization, fibromyalgia, and headache/migraine. Clin J Pain. 2018;34(6):585–91.

Article  PubMed  Google Scholar 

Chauvet C, et al. Statins reduce the risks of relapse to addiction in rats. Neuropsychopharmacology. 2016;41(6):1588–97.

Article  CAS  PubMed  Google Scholar 

Gu Y, et al. Non-antibacterial tetracyclines modulate mediators of periodontitis and atherosclerotic cardiovascular disease: a mechanistic link between local and systemic inflammation. Pharmacol Res. 2011;64(6):573–9.

Article  CAS  PubMed  Google Scholar 

Crespo-Facorro B, et al. Aripiprazole as a candidate treatment of COVID-19 identified through genomic analysis. Front Pharmacol. 2021;12:646701.

Article  CAS  PubMed  PubMed Central  Google Scholar 

East JE, Foweraker JE, Murgatroyd FD. Gentamicin induced ototoxicity during treatment of enterococcal endocarditis: resolution with substitution by netilmicin. Heart. 2005;91(5):e32. https://doi.org/10.1136/hrt.2003.028308.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Sansone RA, Sansone LA. Duloxetine-related acute dysphoria. Psychiatry (Edgmont). 2007;4(11):65.

PubMed  Google Scholar 

Filippone EJ, Kraft WK, Farber JL. The nephrotoxicity of vancomycin. Clin Pharmacol Ther. 2017;102(3):459–69.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Peña MS, Yaltho TC, Jankovic J. Tardive dyskinesia and other movement disorders secondary to aripiprazole. Mov Disord. 2011;26(1)