Consulta: subjectFacets:"Benford's Law"
Registros recuperados: 1
Data/hora: 13/06/2024 08:19:25

Identifying falsified clinical data
Provedor de dados: 31
Autores: Lee,   Joanne; Judge,   George G.
Clinical data serve as a necessary basis for medical decisions. Consequently, the importance of methods that help officials quickly identify human tampering of data cannot be underestimated. In this paper, we suggest Benford’s Law as a basis for objectively identifying the presence of experimenter distortions in the outcome of clinical research data. We test this tool on a clinical data set that contains falsified data and discuss the implications of using this and information-theoretic methods as a basis for identifying data manipulation and fraud.
Tipo: Working or Discussion Paper
Palavras-chave: Data collection; Data analysis; Research; Benford's Law; Health Economics and Policy; Research and Development/Tech Change/Emerging Technologies.
Ano: 2008
URL: http://purl.umn.edu/47001