Estimating the bias between methods at a decision level

Estimate the average bias (or average difference) at a decision level using the regression fit.

1. Activate the analysis report worksheet.
2. On the Analyse-it ribbon tab, in the Method Comparison group, click Predict At.
   The analysis task pane shows the Comparability task.
3. In the Decision level grid, under the Id column, type an identifier for the decision level, and then under the X column, type the value of the decision level
4. Optional: To test if the two methods are equal at each decision level:
   1. On the Analyse-it ribbon tab, in the Method Comparison group, click Test Equality.
      The analysis task pane shows the Comparability task.
   2. To compare the p-value against a predefined significance level, in the Significance level edit box, type the maximum probability of rejecting the null hypothesis when in fact it is true (typically 5% or 1%).
5. Optional: To test if two methods are practically equivalent at each decision level:
   1. On the Analyse-it ribbon tab, in the Method Comparison group, click Test Equivalence.
      The analysis task pane shows the Comparability task.
   2. If the allowable difference is a constant or proportional value across the measuring interval, in the Allowable difference group, select Across measuring interval, and then in the Absolute edit box, type the bias in measurement units, and/or in the Relative edit box, type the bias as a percentage (suffix with % symbol).
   3. If the allowable difference varies for each level, in the Allowable difference group, select Each level and then in the Decision level grid, under the Allowable difference column, alongside each level, type the absolute bias in measurement units, or the relative bias as a percentage (suffix with % symbol).
   4. To compare the p-value against a predefined significance level, in the Significance level edit box, type the maximum probability of rejecting the null hypothesis when in fact it is true (typically 5% or 1%).
6. Click Recalculate.