Analytical goals from biological variation

Derives analytical performance specifications from biological variation.

Open the calculator → Runs in your browser. Data leaves only if you deliberately send a problem report from the interactive tool.

Example

Within-subject biological variation
4.4 CV %
Between-subject biological variation, for the bias goals
12.9 CV %

Result: all three tiers, with the desirable one named first

The tool opens with these values already filled in. Replace them with your own.

What the result means

Imprecision
A quarter of the within-subject variation at optimum, a half at desirable, three quarters at minimum.
Bias
An eighth, a quarter and three eighths of the square root of the within- and between-subject variations squared and summed.
Total error
At each tier: 1.65 times that tier allowable imprecision, plus that tier allowable bias.
Three tiers
Not one specification. The biological-variation goal usually quoted is the desirable tier; optimum is twice as hard and minimum is half.
What they are
Goals from biology, not from what an analyzer can do. Missing them is not being unusable, and meeting them is not being clinically sufficient.
Above them
The Milan hierarchy places outcome-based specifications higher. Where an outcome study exists, it answers the clinical question and this does not.

What you enter

  • Within-subject biological variation
  • Between-subject biological variation, for the bias goals
How this is calculated

Fraser CG. Biological Variation: From Principles to Practice. Washington: AACC Press; 2001. Sandberg S, Fraser CG, Horvath AR, et al. Defining analytical performance specifications: consensus statement from the 1st Strategic Conference of the EFLM. Clin Chem Lab Med. 2015;53(6):833-835. Read the source ↗

A reference and educational tool. Not medical, legal, or financial advice, and not a substitute for clinician judgment.

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Built by Clay Good. Source on GitHub.