Give the Method a suitable name and select Quantitative, Quantal or Interpolation Analysis. The distinction is important as different mathematical methods are required.
A quantitative assay has a response that is measured on a continuous scale, e.g. optical density. Models used are usually linear, 4PL or 5PL.
A quantal assay has a response that is "all or none" and the response is usually recorded as a number of responders e.g. alive or dead at a given time point. Quantal models are usually probit or logit. For quantal Methods, QuBAS needs to know how many responders there could have been, i.e. the maximum possible value for each experimental data point. See Quantitative and quantal data structures.
An interpolation assay is used to calculate the concentration of an unknown sample by interpolation from a standard curve. This mode is typically used for ELISA assays, amongst others.In interpolation mode, QuBAS can create automatically labelled unknown samples. Auto samples do not have an associated Substance Metadata placeholder.
Metadata does not have to be recorded here. It can be added as the data file is imported and added then.
If preferred to add here, Substance Metadata is added in the top part of the screen, and Method Metadata in the lower half.
Enter the name, and the type of data
Note: Control wells are single concentration wells, e.g. media only, or spike values. A Quality Control (QC) sample is a control sample that has dose response data, e.g. positive controls.
When complete, click Save and the Method is created.
