How well a method performs
14 min
- Calculate a sigma metric with compatible error, bias, and imprecision units
- Tell method agreement from a high correlation coefficient
- Test proficiency samples through the routine patient workflow
Try first
Get the idea
Daily QC shows whether a method is behaving today. Three other tools show whether the method is good enough for its purpose and whether it agrees with other methods and laboratories.
The sigma metric
The sigma metric counts how many CVs of the method's imprecision fit into the allowance left after bias:
sigma = (allowable total error % − |bias %|) ÷ CV %
- Bias is taken as a size, whatever its sign, because a method reading 3% low wastes as much of the allowance as one reading 3% high.1
- All three numbers must be in the same form. Convert an SD to a CV with CV = SD ÷ mean × 100, and a bias in concentration units to a percent of the same mean, or keep all three in concentration units.
- The metric belongs to one concentration and one choice of allowable error, and it is one input to choosing QC rules.
Read the metric this way:1
| Sigma metric | What it means for QC |
|---|---|
| Near 6 | Room to spare |
| Near 3 | Tighter QC rules, and more of them |
Method agreement
Method agreement comes up when a laboratory compares a new method with the one it replaces. Paired patient specimens are run on both, and the correlation coefficient, r, is often the first number printed.
- A high r says only that the pairs fall close to a straight line.
- Two methods can sit on a near-perfect line with one reading consistently higher, so r mostly tells you whether the specimens covered a wide enough range to fit the line well.2
- Agreement is judged from the bias at the concentrations where clinical decisions are made, compared with the bias the laboratory decided in advance it could accept.2,3
Proficiency testing
Proficiency testing (PT) sends blinded samples from an outside program, and the laboratory's answers are graded against a target or a peer group. The point is to see the laboratory's routine error, so the samples go through the routine workflow. Under CLIA they are tested:4
- with the regular patient workload
- by the people who usually run the test
- with the usual method
- the same number of times as a patient specimen
Laboratories must not:4
- discuss PT results with each other before the reporting deadline
- send PT samples to another laboratory for testing they are certified to do themselves
Special handling makes the grade describe that handling and hides the error in patients' results.
References
- Westgard QC. Best practices for Westgard rules. Accessed September 23, 2026.
- Westgard JO. The comparison of methods experiment. Westgard QC. Accessed September 23, 2026.
- Clinical and Laboratory Standards Institute. Measurement Procedure Comparison and Bias Estimation Using Patient Samples. 3rd ed. CLSI guideline EP09c. Clinical and Laboratory Standards Institute; 2018. Accessed September 23, 2026.
- Electronic Code of Federal Regulations. 42 CFR §493.801: Condition: Enrollment and testing of samples. Accessed September 23, 2026.
Watch one
A cholesterol control has a mean of 200 mg/dL and an SD of 4.0 mg/dL.
- A peer comparison shows the method reads 6 mg/dL low at that level.
- The laboratory's allowable total error is 10%.
What is the sigma metric?
- Convert the SD to a CV: 4.0 ÷ 200 × 100 = 2.0%.
Sigma needs imprecision as a percent when the allowable error is a percent.
- Express the bias as a percent of the mean: 6 ÷ 200 × 100 = 3.0%.
Bias must be in the same form as the other two numbers.
- Take the size of the bias, 3.0%, and ignore that the method reads low.
A low bias uses up the allowance just as a high one does.
- Calculate (10 − 3.0) ÷ 2.0 = 7.0 ÷ 2.0 = 3.5.
What is left of the allowance, divided by the CV, is the number of CVs that fit.
- Check in mg/dL: the allowance is 20 mg/dL, and (20 − 6) ÷ 4.0 = 3.5.
Working in concentration units must give the same answer if the units match.
Your turn
Results
- Calculate a sigma metric with compatible error, bias, and imprecision units
- Tell method agreement from a high correlation coefficient
- Test proficiency samples through the routine patient workflow
To review
3 questions from this step will come back in Review.
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The rest of this step
A short briefing, a demonstration at the bench and 3 practice problems.
A free account opens the rest and keeps your progress.