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A statistical strategy for discouraging collusion in split-level proficiency testing schemes

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Abstract

A statistical strategy for discouraging collusion in split-level proficiency testing schemes was developed. When the samples are randomly labeled, the difference in the analyte levels in the two samples can be designed to maximize the probability of detecting collusion when it occurs, so that participants who colluded cannot easily receive satisfactory assessments. This favors providing convictive assessments of participants’ proficiency and giving the participants a level playing field.

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References

  1. ISO Guide 43–1:1997, Proficiency testing by interlaboratory comparisons – Part 1: Development and operation of proficiency testing schemes, International Organization for Standardization, Genève 1997

  2. APLAC T030, Food Microbiological Proficiency Testing Program— Final Report, China National Accreditation Board for Laboratories, Beijing 2002

  3. APLAC PT002–2003, Testing Interlaboratory comparisons, APLAC, 2003

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Authors and Affiliations

  1. Liaoning Entry–Exit Inspection and Quarantine Bureau, 81 Renmin Road, Dalian, 116001, P. R. China

    Weiping Wang, Jiang Zheng, Zhijun Cao & Xingan Lu

  2. Consulting Statistics in American Association for Laboratory Accreditation, Traverse City, USA

    Daniel W. Tholen

Authors
  1. Weiping Wang
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  2. Jiang Zheng
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  3. Daniel W. Tholen
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  4. Zhijun Cao
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  5. Xingan Lu
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Corresponding author

Correspondence to Jiang Zheng.

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Wang, W., Zheng, J., Tholen, D.W. et al. A statistical strategy for discouraging collusion in split-level proficiency testing schemes. Accred Qual Assur 10, 140–143 (2005). https://doi.org/10.1007/s00769-005-0915-5

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  • DOI: https://doi.org/10.1007/s00769-005-0915-5

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