Parallelism testing is fast becoming a regulatory requirement. Quantics can advise on the best method to use.
If the test material is simply acting as a dilution of the reference material (i.e. it is a similar biological entity) the dose response curves will be parallel. One curve is just a horizontal shift of the other.
In practice the curves never are exactly parallel, and each curve is just a best fit to the data points and each has associated confidence limits, so how parallel is parallel enough?
A number of methods are available, and choosing the best one is not simple. Account must be taken of the data available, likely future data variability, the statistical model used and regulatory requirements.
Common testing methods are based on significance testing (e.g. the “F” test) or equivalence testing.
Choosing the wrong test or setting the pass fail criteria incorrectly may result in unnecessary assay failures.
See Quantics paper: Parallelism in Practice: Approaches to Parallelism in Bioassays, and associated flowchart to guide users to the best option for parallelism testing. Download HERE