English

Mass spectrometry proteomic diagnosis: enacting the validation paradigm

Statistics Theory 2007-06-13 v1 Quantitative Methods Statistics Theory

Abstract

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.

Keywords

Cite

@article{arxiv.math/0510188,
  title  = {Mass spectrometry proteomic diagnosis: enacting the validation paradigm},
  author = {Bart J. A. Mertens and M. E. de Noo and R. A. E. M. Tollenaar and A. M. Deelder},
  journal= {arXiv preprint arXiv:math/0510188},
  year   = {2007}
}

Comments

21 pages, 4 figures, see http://clinicalresearch.nl/personalpage/ for updated info or contact information

R2 v1 2026-07-22T17:25:40.894Z