Statistical Methodology for Pathogen Detection

Author:

OGLIARI PAULO JOSÉ1,de ANDRADE DALTON FRANCISCO1,PACHECO JULIANO ANDERSON2,FRANCHIN PAULO ROGÉRIO3,BATISTA CLEIDE ROSANA VIEIRA3

Affiliation:

1. 1Departament of Informatics and Statistics, Federal University of Santa Catarina, Postal Office 476, Tecnology Center, 88040-900, Florianópolis, Santa Catarina, Brazil

2. 2Centro de Informática e Automação Industrial (CTAI-SENAI), 88032-005, Florianópolis, Santa Catarina, Brazil

3. 3Departament of Science and Tecnology of Food, Federal University of Santa Catarina, 12227-010, Florianópolis, Santa Catarina, Brazil

Abstract

The main goal of the present study was to discuss the application of the McNemar test to the comparison of proportions in dependent samples. Data were analyzed from studies conducted to verify the suitability of replacing a conventional method with a new one for identifying the presence of Salmonella. It is shown that, in most situations, the McNemar test does not provide all the elements required by the microbiologist to make a final decision and that appropriate functions of the proportions need to be considered. Sample sizes suitable to guarantee a test with a high power in the detection of significant differences regarding the problem studied are obtained by simulation. Examples of functions that are of great value to the microbiologist are presented.

Publisher

International Association for Food Protection

Subject

Microbiology,Food Science

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Minimization of Salmonella Contamination on Raw Poultry;Annual Review of Food Science and Technology;2011-04-10

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