Data/hora: 20/05/2024 06:44:43

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