Bioequivalence and Bioavailability Forum

❝ In a simple approach, for each algorithm, you need to calculate the Sum of the Absolute Difference (ignoring the sign) between 100 and the % Accuracy for each Calibration Standard. The algorithm which yields the Lowest Sum is the Best Regression Algorithm.

I do not agree with this approach (at least not without a few modifications).
If you got 10 points to calibrate on, and use a 9th order polynomal, you get a sum of absolute difference of 0, perfect fit, but this an overfitted model, as you also fit the error. I think the above approach is usefull, but also keep in mind that the algorith with the minimum predictor which gives you an acceptable result is prefferable.

There are also AIC, BIC, ... criteria to make your selection, but I think it's usefull to get a good book on regression and model selection

Ace