5 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…
A Nonparametric Bayesian Local-Global Model for Enhanced Adverse Event Signal Detection in Spontaneous Reporting System Data
Xin-Wei Huang, Saptarshi Chakraborty
Spontaneous reporting system databases are key resources for post-marketing surveillance, providing real-world evidence (RWE) on the adverse events (AEs) of regulated drugs or othe…
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…
A generalized Bayesian approach for high-dimensional robust regression with serially correlated errors and predictors
Saptarshi Chakraborty, Kshitij Khare, George Michailidis
This paper introduces a loss-based generalized Bayesian methodology for high-dimensional robust regression with serially correlated errors and predictors. The proposed framework em…
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…