title: Nonparametric assessment of toxicologic assay linearity by bootstrap analysis.
abstract: An important aspect in the evaluation of toxicologic assay methodology is the assessment of calibration. This paper presents a new approach for validating calibration using bootstrap analysis. The technique is illustrated with a quantitative assay for benzoylecgonine in urine by gas chromatography/mass spectrometry (GC/MS). Because the bootstrap analysis does not rely on parametric assumptions regarding the distribution of errors about the regression line, it can be applied to situations where the parametric distribution of response errors about the regression line is unknown. This application of bootstrap methodology yields a probabilistic measure of confidence on the linearity of the calibration curve.
authors.affiliation: Department of Pathology, Utah Valley Regional Medical Center, Provo 84603.
authors.forename: G C
authors.initials: GC
authors.lastname: Critchfield
authors.forename: D G
authors.initials: DG
authors.lastname: Wilkins
authors.forename: D L
authors.initials: DL
authors.lastname: Loughmiller
authors.forename: D E
authors.initials: DE
authors.lastname: Rollins
mesh_terms: D002138:Calibration; D002623:Chemistry Techniques, Analytical; D003042:Cocaine / Q000031:analogs & derivatives / Q000652:urine; D008401:Gas Chromatography-Mass Spectrometry; D006801:Humans; D014116:Toxicology / Q000379:methods
chemical_list: C005618:benzoylecgonine; D003042:Cocaine