Data/hora: 03/06/2024 01:19:44

Provedor de dados: 	31	
País: 	United States	
Título: 	Identifying falsified clinical data	
Autores: 	Lee,   Joanne; Judge,   George G.	
Data: 	2009-01-22	
Ano: 	2008	
Palavras-chave: 	Data collection; Data analysis; Research; Benford's Law; Health Economics and Policy; Research and Development/Tech Change/Emerging Technologies.	
Resumo: 	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	
Idioma: 	Inglês	
Identificador: 	http://purl.umn.edu/47001	
Relação: 	University of California, Berkeley&gt;Department of Agricultural and Resource Economics&gt;CUDARE Working Papers

CUDARE Working Papers

1073	
Formato: 	8 p