6 papers
A Review of Statistical Methods for Spontaneous Reporting System Data Mining: Signal Detection and Beyond
Yihao Tan, Marianthi Markatou, Saptarshi Chakraborty
Postmarketing safety surveillance relies on data from spontaneous reporting systems (SRS) such as FAERS, EudraVigilance and VigiBase, and commonly uses SRS data mining methods to a…
pvEBayes: An R Package for Empirical Bayes Methods in Pharmacovigilance
Yihao Tan, Marianthi Markatou, Saptarshi Chakraborty
Monitoring the safety of medical products is a core concern of contemporary pharmacovigilance. To support drug safety assessment, Spontaneous Reporting Systems (SRS) collect report…
SurVigilance: An Application for Accessing Global Pharmacovigilance Data
Raktim Mukhopadhyay, Marianthi Markatou
Even though several publicly accessible pharmacovigilance databases are available, extracting data from them is a technically challenging process. Existing tools typically focus on…
A unified framework for multivariate two-sample and k-sample kernel-based quadratic distance goodness-of-fit tests
Marianthi Markatou, Giovanni Saraceno
In the statistical literature, as well as in artificial intelligence and machine learning, measures of discrepancy between two probability distributions are largely used to develop…
Flexible Empirical Bayesian Approaches to Pharmacovigilance for Simultaneous Signal Detection and Signal Strength Estimation in Spontaneous Reporting Systems Data
Yihao Tan, Marianthi Markatou, Saptarshi Chakraborty
Inferring adverse events (AEs) of medical products from Spontaneous Reporting Systems (SRS) databases is a core challenge in contemporary pharmacovigilance. Bayesian methods for ph…
MDDC: An R and Python Package for Adverse Event Identification in Pharmacovigilance Data
Anran Liu, Raktim Mukhopadhyay, Marianthi Markatou
The safety of medical products continues to be a significant health concern worldwide. Spontaneous reporting systems (SRS) and pharmacovigilance databases are essential tools for p…