Codice | 28/2013 |
Titolo | Statistical Issues in Medical Fraud Assessment |
Data | 2013-06-24 |
Autore/i | Ekin, T.; Ieva, F.; Ruggeri, F.; Soyer, R. |
Link | Download full text |
Abstract | In this paper we provide a survey of the statistical issues in medical fraud assessment. We discuss different types of medical fraud and the type of fraud data that arise in different situations and give a review of the statistical
methods that use such data to assess fraud. We also discuss ”conspiracy fraud” and the associated dyadic data and introduce Co-clustering methods which have not been previously considered in the medical fraud literature.
In so doing, we present some recent work on Bayesian co-clustering for fraud assessment and its extensions. Furthermore, we discuss potential use of decision theoretic methods in fraud detection and demonstrate an example for evaluating fraud detection tools. |
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