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Jeffrey D. Hofer is a senior statistician in Global Statistical Sciences at Eli Lilly and Company.
This article discusses a straightforward approach that scientists may use to descide how many nonsuspect restest results are required to provide sufficient evidence to overcome an initial suspect result.
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