Standard Deviation Index Calculator
Calculate SDI bias from laboratory mean, consensus group mean, and group standard deviation with interpretation.
What Is the Standard Deviation Index?
The standard deviation index (SDI) measures bias between a laboratory mean and a consensus group mean. It expresses that difference in units of the consensus group standard deviation. Target SDI is 0. Related tools: Standard Deviation Calculator and Relative Standard Deviation Calculator.
SDI Formula
$$SDI = \frac{\mu_{lab} - \mu_{consensus}}{\sigma_{consensus}}$$
A positive SDI means the laboratory mean is above the consensus mean. A negative SDI means it is below. The absolute value shows how many standard deviations apart the means are.
How to Interpret SDI
- 0: No bias.
- 0 to 1: Low bias.
- 1 to 1.25: Acceptable in many lab programs.
- 1.25 to 1.49: Review the method.
- 1.5 to 1.99: Marginal performance.
- 2 or more: Unacceptable bias; corrective action needed.
Example
If the laboratory mean is 9.4, the consensus mean is 8.8, and the consensus standard deviation is 2, then $SDI = (9.4 - 8.8)/2 = 0.3$. The laboratory mean is slightly above the consensus mean but still within one standard deviation.
Frequently Asked Questions
What does a negative SDI mean?
A negative SDI means the laboratory mean is lower than the consensus group mean. The sign shows direction; the absolute value shows magnitude.
Why use SDI instead of a raw mean difference?
SDI scales the difference by the group spread, so a 0.5-point gap means different things when the standard deviation is 0.2 versus 2.0.
Can SDI be calculated when consensus SD is zero?
No. Division by zero makes SDI undefined. The consensus group must have positive variability.
Is SDI the same as a z-score?
It is similar in form because both divide a mean difference by a standard deviation, but SDI is used specifically to compare laboratory performance against a peer consensus group.