Assessing the Integrity of Clinical Data: When is Statistical Evidence Too Good to be True?

Evidence, as viewed through the lens of statistical significance, is not always as it appears! In the investigation of clinical research findings arising from statistical analyses, a fundamental initial step for the emerging fraud detective is to retrieve the source data for cross-examination with t...

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Detalles Bibliográficos

Publicado en:	Topoi: An International Review of Philosophy Vol. 33; no. 2; pp. 323 - 338
Autor principal:	MacDougall, Margaret
Formato:	Artículo
Publicado:	Springer Nature Oct2014
Materias:	Science & ethics Benford's law (Statistics) Cluster analysis (Statistics) Statistical reliability Fraud in science Falsification of data
Acceso en línea:	Ver este registro en EBSCOhost