comparison criteria

To this end, common comparison criteria have been agreed on for the purposes of assessing the respective advantages and disadvantages of each solution.

Other comparison criteria that reduce noise and bolster positive matches include secondary structure assignment, native contact maps or residue interaction patterns, measures of side chain packing, and measures of hydrogen bond retention.

The average rejection rate per journal could be used as a weighting factor in assessing the impact of a particular thesis, or indeed paper, but it would be difficult to be totally certain that the comparison criteria had objective validity.

Forward selection, which involves starting with no variables in the model, testing the addition of each variable using a chosen model comparison criterion, adding the variable (if any) that improves the model the most, and repeating this process until none improves the model.