A Computationally Simply Central Monitoring Procedure was Proposed and Effectively Applied to Empirical Trial data with Known Fraud
Journal of clinical epidemiology, Jan 12, 2017
Central monitoring of multi-center clinical trials becomes an ever more feasible quality assuranc... more Central monitoring of multi-center clinical trials becomes an ever more feasible quality assurance tool, in particular for the detection of data fabrication. More widespread application, across both industry-sponsored as well as academic clinical trials, requires central monitoring methodologies that are both effective and relatively simple in implementation. We describe a computationally simple fraud detection procedure intended to be applied repeatedly and (semi-)automatically to accumulating baseline data, to detect data fabrication in multi-center trials as early as possible. The procedure is based on anticipated characteristics of fabricated data. It consists of seven analyses, each of which flags approximately 10% of the centers. Centers that are flagged three or more times are considered 'potentially fraudulent' and require additional investigation. The procedure is illustrated using empirical trial data with known fraud. In the illustration data, the fraudulent cente...
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Papers by Bas Oosterman