Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/77371
Authors: 
Voss, B.
Dahms, S.
Kunert, Joachim
Weiss, H.
Year of Publication: 
1999
Series/Report no.: 
Technical Report, SFB 475: Komplexitätsreduktion in Multivariaten Datenstrukturen, Universität Dortmund 1999,19
Abstract: 
The so-called good-laboratory-practice (GLP) test provides an experimental design and appropriate statistical analysis for the problem of analyst performance assessment in microbiological laboratories. For a given sample material multiple dilution series are generated yielding colony counts from several dilution levels. Statistical evaluation is based on the assumption of Poisson-distributed colony forming units. In this paper a new model based on conditional binomial and multinomial distributions is presented and it is shown how it is related to the standard model which assumes Poisson-distributed colony counts. The effects of common working errors on the statistical evaluation of the GLP-test are investigated.
Subjects: 
standardized analytical methods
Good-laboratory-practice-test
Poisson model
multinomial model
quality control
Document Type: 
Working Paper

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