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Chapter 12 : Statistical Data Analysis of Results Based on Alternative Detection and Enumeration Methods

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Statistical Data Analysis of Results Based on Alternative Detection and Enumeration Methods, Page 1 of 2

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Abstract:

Microbiological data on foodborne pathogens used in research for risk assessment or risk mitigation should be accurate and reliable to the specified level of the underlying measurement performance characterization. This chapter reviews standard statistical approaches to performance characterization for detection and enumeration with emphasis on validity aspects. It describes the most important statistical measures described by International Organization for Standardization (ISO 16140) for validation of qualitative and quantitative methods of accuracy used for alternative methods. The chapter also briefly describes the performance characterization with regard to precision (interlaboratory reproducibility). Issues related to the limit of detection (LOD), sometimes referred to as analytical sensitivity, are relevant for both classical and alternative methods for detection and enumeration. Data generated by using methods with an LOD include nondetects, i.e., false-negative results, and are referred to as censored data, because only values that are greater than the LOD can be reliably observed. Ignoring the censoring problem and also the substitution of nondetects with an arbitrary value selected from a range between zero and the LOD leads to biases. New technologies have emerged in response to the need for fast, cost-efficient, and high-throughput devices for the detection and classification of foodborne microorganisms. The chapter finally reviews some applications of statistical methods and provides references for further reading.

Citation: Greiner M, Vigre H, Gardner I. 2011. Statistical Data Analysis of Results Based on Alternative Detection and Enumeration Methods, p 163-175. In Hoorfar J (ed), Rapid Detection, Characterization, and Enumeration of Foodborne Pathogens. ASM Press, Washington, DC. doi: 10.1128/9781555817121.ch12
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References

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Tables

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TABLE 1

Obsolete and two alternative recommended formats to store censored data in a database

Citation: Greiner M, Vigre H, Gardner I. 2011. Statistical Data Analysis of Results Based on Alternative Detection and Enumeration Methods, p 163-175. In Hoorfar J (ed), Rapid Detection, Characterization, and Enumeration of Foodborne Pathogens. ASM Press, Washington, DC. doi: 10.1128/9781555817121.ch12
Generic image for table
Untitled

Citation: Greiner M, Vigre H, Gardner I. 2011. Statistical Data Analysis of Results Based on Alternative Detection and Enumeration Methods, p 163-175. In Hoorfar J (ed), Rapid Detection, Characterization, and Enumeration of Foodborne Pathogens. ASM Press, Washington, DC. doi: 10.1128/9781555817121.ch12
Generic image for table
Untitled

Citation: Greiner M, Vigre H, Gardner I. 2011. Statistical Data Analysis of Results Based on Alternative Detection and Enumeration Methods, p 163-175. In Hoorfar J (ed), Rapid Detection, Characterization, and Enumeration of Foodborne Pathogens. ASM Press, Washington, DC. doi: 10.1128/9781555817121.ch12
Generic image for table
Untitled

Citation: Greiner M, Vigre H, Gardner I. 2011. Statistical Data Analysis of Results Based on Alternative Detection and Enumeration Methods, p 163-175. In Hoorfar J (ed), Rapid Detection, Characterization, and Enumeration of Foodborne Pathogens. ASM Press, Washington, DC. doi: 10.1128/9781555817121.ch12
Generic image for table
Untitled

Citation: Greiner M, Vigre H, Gardner I. 2011. Statistical Data Analysis of Results Based on Alternative Detection and Enumeration Methods, p 163-175. In Hoorfar J (ed), Rapid Detection, Characterization, and Enumeration of Foodborne Pathogens. ASM Press, Washington, DC. doi: 10.1128/9781555817121.ch12
Generic image for table
TABLE 2

Cross-tabulated results of ELISA and fecal culture for detection of serotype Dublin in cattle aged 0 to 99 days

Citation: Greiner M, Vigre H, Gardner I. 2011. Statistical Data Analysis of Results Based on Alternative Detection and Enumeration Methods, p 163-175. In Hoorfar J (ed), Rapid Detection, Characterization, and Enumeration of Foodborne Pathogens. ASM Press, Washington, DC. doi: 10.1128/9781555817121.ch12

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