38 citations · 80 across the 15 of their papers we have counts for
15 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…
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…
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…
Goodness-of-Fit and Clustering of Spherical Data: the QuadratiK package in R and Python
Giovanni Saraceno, Marianthi Markatou, Raktim Mukhopadhyay +1
We introduce the QuadratiK package that incorporates innovative data analysis methodologies. The presented software, implemented in both R and Python, offers a comprehensive set of…
An AUK-based index for measuring and testing the joint dependence of a random vector
Georgios Afendras, Marianthi Markatou, Albert Vexler
We present an index of dependence that allows one to measure the joint or mutual dependence of a -dimensional random vector with . The index is based on a -dimensional K…
Multi-Panel Kendall Plot in Light of an ROC Curve Analysis Applied to Measuring Dependence
Albert Vexler, Georgios Afendras, Marianthi Markatou
The Kendall plot ($\K$-plot) is a plot measuring dependence between the components of a bivariate random variable. The $\K$-plot graphs the Kendall distribution function against th…
Poisson Kernel-Based Clustering on the Sphere: Convergence Properties, Identifiability, and a Method of Sampling
Mojgan Golzy, Marianthi Markatou
Many applications of interest involve data that can be analyzed as unit vectors on a d-dimensional sphere. Specific examples include text mining, in particular clustering of docume…
The out-of-source error in multi-source cross validation-type procedures
Georgios Afendras, Marianthi Markatou
A scientific phenomenon under study may often be manifested by data arising from processes, i.e. sources, that may describe this phenomenon. In this contex of multi-source data, we…
Statistical Distances and Their Role in Robustness
Marianthi Markatou, Yang Chen, Georgios Afendras +1
Statistical distances, divergences, and similar quantities have a large history and play a fundamental role in statistics, machine learning and associated scientific disciplines. H…
Optimality of Training/Test Size and Resampling Effectiveness of Cross-Validation Estimators of the Generalization Error
Georgios Afendras, Marianthi Markatou
An important question in constructing Cross Validation (CV) estimators of the generalization error is whether rules can be established that allow "optimal" selection of the size of…
Uniform Integrability of the OLS Estimators, and the Convergence of their Moments
Georgios Afendras, Marianthi Markatou
The problem of convergence of moments of a sequence of random variables to the moments of its asymptotic distribution is important in many applications. These include the determina…
Quadratic distances on probabilities: A unified foundation
Bruce G. Lindsay, Marianthi Markatou, Surajit Ray +2
This work builds a unified framework for the study of quadratic form distance measures as they are used in assessing the goodness of fit of models. Many important procedures have t…