Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/41932
Title: Pinocchio testing in the forensic analysis of waiting lists: using public waiting list data from Finland and Spain for testing Newcomb-Benford's Law
Authors: Pinilla, Jaime 
Lopez-Valcarcel, Beatriz G. 
Gonzalez-Martel, Christian 
Peiro, Salvador
Keywords: 530202 Modelos econométricos
531207 Sanidad
Issue Date: 2018
Publisher: 2044-6055
Journal: BMJ Open 
Abstract: 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
Source: BMJ Open,v. 8 (e022079)
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