Pinocchio testing in the forensic analysis of waiting lists: using public waiting list data from Finland and Spain for testing Newcomb-Benford's Law

Título:	Pinocchio testing in the forensic analysis of waiting lists: using public waiting list data from Finland and Spain for testing Newcomb-Benford's Law
Autores/as:	Pinilla, Jaime Lopez-Valcarcel, Beatriz G. Gonzalez-Martel, Christian Peiro, Salvador
Clasificación UNESCO:	530202 Modelos econométricos 531207 Sanidad
Palabras clave:	Fraud
Fecha de publicación:	2018
Editor/a:	2044-6055
Publicación seriada:	BMJ Open
Resumen:	Objective Newcomb-Benford's Law (NBL) proposes a regular distribution for first digits, second digits and digit combinations applicable to many different naturally occurring sources of data. Testing deviations from NBL is used in many datasets as a screening tool for identifying data trustworthiness problems. This study aims to compare public available waiting lists (WL) data from Finland and Spain for testing NBL as an instrument to flag up potential manipulation in WLs.
URI:	http://hdl.handle.net/10553/41932
ISSN:	2044-6055
DOI:	10.1136/bmjopen-2018-022079
Fuente:	BMJ Open [ISSN 2044-6055], v. 8(5)
Colección:	Artículos

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