Tolerance limits for short-term analytical bias and analytical imprecision derived from clinical assay specificity

G. G. Klee

Research output: Contribution to journalArticle

33 Citations (Scopus)

Abstract

I propose a method for defining tolerance limits for assay bias and assay imprecision, based on the effects of these tolerance limits on the clinical specificity of the assay. An analytical 'error budget' is defined as the squared sums of the imprecision and bias errors. The maximum limit for this error budget is set at a value corresponding to a 50% increase in the false- positive rate for classifying healthy subjects. For gaussian distributions with ±2 SD used as decision limits, this error budget equates to 0.45 SD of combined within-person and between-person biological variation (SD(Biol)). To provide reasonable power for bias detection in an assay, I recommend that the SD of the assay be kept at less than half the bias limit. Then, for the gaussian distribution, the maximum bias limit should be <0.36 SD(Biol) and the SD of the assay should be <0.18 SD(Biol). Procedures are provided for using the same principles to define tolerance limits for decision limits other than ±2 SD and for nongaussian distributions.

Original languageEnglish (US)
Pages (from-to)1514-1518
Number of pages5
JournalClinical Chemistry
Volume39
Issue number7
StatePublished - 1993

Fingerprint

Budgets
Assays
Normal Distribution
Gaussian distribution
Healthy Volunteers

Keywords

  • analytical performance goals
  • error budget
  • statistics

ASJC Scopus subject areas

  • Clinical Biochemistry

Cite this

Tolerance limits for short-term analytical bias and analytical imprecision derived from clinical assay specificity. / Klee, G. G.

In: Clinical Chemistry, Vol. 39, No. 7, 1993, p. 1514-1518.

Research output: Contribution to journalArticle

@article{f9bdbd6f16e44d0da46c75bb0e69b93c,
title = "Tolerance limits for short-term analytical bias and analytical imprecision derived from clinical assay specificity",
abstract = "I propose a method for defining tolerance limits for assay bias and assay imprecision, based on the effects of these tolerance limits on the clinical specificity of the assay. An analytical 'error budget' is defined as the squared sums of the imprecision and bias errors. The maximum limit for this error budget is set at a value corresponding to a 50{\%} increase in the false- positive rate for classifying healthy subjects. For gaussian distributions with ±2 SD used as decision limits, this error budget equates to 0.45 SD of combined within-person and between-person biological variation (SD(Biol)). To provide reasonable power for bias detection in an assay, I recommend that the SD of the assay be kept at less than half the bias limit. Then, for the gaussian distribution, the maximum bias limit should be <0.36 SD(Biol) and the SD of the assay should be <0.18 SD(Biol). Procedures are provided for using the same principles to define tolerance limits for decision limits other than ±2 SD and for nongaussian distributions.",
keywords = "analytical performance goals, error budget, statistics",
author = "Klee, {G. G.}",
year = "1993",
language = "English (US)",
volume = "39",
pages = "1514--1518",
journal = "Clinical Chemistry",
issn = "0009-9147",
publisher = "American Association for Clinical Chemistry Inc.",
number = "7",

}

TY - JOUR

T1 - Tolerance limits for short-term analytical bias and analytical imprecision derived from clinical assay specificity

AU - Klee, G. G.

PY - 1993

Y1 - 1993

N2 - I propose a method for defining tolerance limits for assay bias and assay imprecision, based on the effects of these tolerance limits on the clinical specificity of the assay. An analytical 'error budget' is defined as the squared sums of the imprecision and bias errors. The maximum limit for this error budget is set at a value corresponding to a 50% increase in the false- positive rate for classifying healthy subjects. For gaussian distributions with ±2 SD used as decision limits, this error budget equates to 0.45 SD of combined within-person and between-person biological variation (SD(Biol)). To provide reasonable power for bias detection in an assay, I recommend that the SD of the assay be kept at less than half the bias limit. Then, for the gaussian distribution, the maximum bias limit should be <0.36 SD(Biol) and the SD of the assay should be <0.18 SD(Biol). Procedures are provided for using the same principles to define tolerance limits for decision limits other than ±2 SD and for nongaussian distributions.

AB - I propose a method for defining tolerance limits for assay bias and assay imprecision, based on the effects of these tolerance limits on the clinical specificity of the assay. An analytical 'error budget' is defined as the squared sums of the imprecision and bias errors. The maximum limit for this error budget is set at a value corresponding to a 50% increase in the false- positive rate for classifying healthy subjects. For gaussian distributions with ±2 SD used as decision limits, this error budget equates to 0.45 SD of combined within-person and between-person biological variation (SD(Biol)). To provide reasonable power for bias detection in an assay, I recommend that the SD of the assay be kept at less than half the bias limit. Then, for the gaussian distribution, the maximum bias limit should be <0.36 SD(Biol) and the SD of the assay should be <0.18 SD(Biol). Procedures are provided for using the same principles to define tolerance limits for decision limits other than ±2 SD and for nongaussian distributions.

KW - analytical performance goals

KW - error budget

KW - statistics

UR - http://www.scopus.com/inward/record.url?scp=0027181486&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0027181486&partnerID=8YFLogxK

M3 - Article

VL - 39

SP - 1514

EP - 1518

JO - Clinical Chemistry

JF - Clinical Chemistry

SN - 0009-9147

IS - 7

ER -