Publications

2015
Article

Scalable Detection of Anomalous Patterns With Connectivity Constraints

By: Skyler Speakman, Edward McFowland III and Daniel B. Neill

We present GraphScan, a novel method for detecting arbitrarily shaped connected clusters in graph or network data. Given a graph structure, data observed at each node, and a score function defining the anomalousness of a set of nodes, GraphScan can efficiently and... View Details

Keywords: Biosurveillance; Event Detection; Graph Mining; Scan Statistics; Spatial Scan Statistic

Article

Fast Subset Scan for Multivariate Spatial Biosurveillance

By: Daniel B. Neill, Edward McFowland III and Huanian Zheng

We present new subset scan methods for multivariate event detection in massive space-time datasets. We extend the recently proposed 'fast subset scan' framework from univariate to multivariate data, enabling computationally efficient detection of irregular space-time... View Details

Keywords: Algorithms; Disease Surveillance; Event Detection; Scan Statistics; Spatial Scan

November–December 2015
Article

Active Postmarketing Drug Surveillance for Multiple Adverse Events

By: Joel Goh, Margrét V. Bjarnadóttir, Mohsen Bayati and Stefanos A. Zenios

Postmarketing drug surveillance is the process of monitoring the adverse events of pharmaceutical or medical devices after they are approved by the appropriate regulatory authorities. Historically, such surveillance was based on voluntary reports by medical... View Details

Keywords: Drug Surveillance; Health Care; Stochastic Models; Queueing; Diffusion Approximation; Brownian Motion; Health Care and Treatment; Analytics and Data Science; Analysis

2016
Article

Penalized Fast Subset Scanning

By: Skyler Speakman, Sriram Somanchi, Edward McFowland III and Daniel B. Neill

We present the penalized fast subset scan (PFSS), a new and general framework for scalable and accurate pattern detection. PFSS enables exact and efficient identification of the most anomalous subsets of the data, as measured by a likelihood ratio scan statistic.... View Details

Keywords: Disease Surveillance; Likelihood Ratio Statistic; Pattern Detection; Scan Statistic; Mathematical Methods

September 1986 (Revised February 1991)
Case

Graves Industries, Inc. (C): Consumer Hardware Division

Describes events occurring over a three-year period in a division of Graves Industries. The division is being squeezed for profit, and managers in the division get involved in some fraudulent financial reporting schemes involving revenues and capitalization of... View Details

Keywords: Earnings Management; Crime and Corruption; Ethics; Financial Reporting

Educators

September 1986 (Revised March 1987)
Case

Graves Industries, Inc. (B): Lohnes Marine Hardware Division

Describes events occurring over a four-year period in one division of Graves Industries. The division goes through a business cycle and uses several methods of managing earnings to meet its budget targets. The purpose of the case is to allow the exploration of the... View Details

Keywords: Earnings Management; Crime and Corruption; Ethics

Educators

2022
Working Paper

Post-market Surveillance of Software Medical Devices: Evidence from Regulatory Data

By: Alexander O. Everhart and Ariel D. Stern

Medical devices increasingly include software components, which facilitate remote patient monitoring. The introduction of software into previously analog medical devices as well as innovation in software-driven devices may introduce new safety concerns—all the more so... View Details

Keywords: Technological Innovation; Safety; Governing Rules, Regulations, and Reforms; Health Care and Treatment; Medical Devices and Supplies Industry

Read Now

May 2022
Article

Coins for Bombs: The Predictive Ability of On-Chain Transfers for Terrorist Attacks

By: Dan Amiram, Evgeny Lyandres and Daniel Rabetti

This study examines whether we can learn from the behavior of blockchain-based transfers to predict the financing of terrorist attacks. We exploit blockchain transaction transparency to map millions of transfers for hundreds of large on-chain service providers. The... View Details

Keywords: Blockchain; Bitcoin; Accounting; AI and Machine Learning; National Security; Governing Rules, Regulations, and Reforms