2005/10/10 by Bart J. A. Mertens, Mertens, Bart J. A., M. E. de Noo +5
Biochemistry, Genetics and Molecular Biology · Mathematics · #62P10 #FOS: Biological sciences #FOS: Mathematics #Quantitative Methods (q-bio.QM) #Statistics Theory (math.ST) #math.ST #msc:62P10 #q-bio.QM #stat.TH
paper · pdf · doi:10.48550/arxiv.math/0510188
21 pages, 4 figures, see http://clinicalresearch.nl/personalpage/ for updated info or contact information
arxiv created 2005/10/10 · arxiv updated 2009/12/01
This paper presents an approach to the evaluation and validation of mass spectrometry data for construction of an `early warning' diagnostic procedure. We describe implementation of a designed experiment and place emphasis on the consistent and correct use of validation based evaluation - which is a key requirement to achieve unbiased assessment of the ability of mass spectrometry data for diagnosis in this setting. Strict adherence to validation as a scientific principle will however typically imply that the analyst must make choices. Like all choices in statistical analysis, validation comes at a cost! We present a detailed and extensive discussion of the issues involved and propose that much greater emphasis and requirement for validation would enter clinical proteomic science.