This is the third newsletter of our four-part newsletter series about the Dose-Response Analysis Package. The package provides a range of additional biostatistical methods for immunoassays, ELISA, and more. It supports you in investigating equivalence for calibration curves and it provides enhanced data processing and analysis. New document reports and dashboards add to its value and usability.
The new package also features enhanced response data processing. You can adjust and normalize data either by a fixed value or by another assay element. Use these features, for example, to subtract the absorbance of blank wells or to divide response values by the mean absorbance of maximum binding wells. You can also employ transformations–logarithmic, square, and square-root. Apply adjustments, normalizations, and transformations to all samples, a specific sample, or to all test or control samples. You can apply adjustments and normalizations to specific plates as well. Moreover, you can average your replicates. To give you full control over data processing, you can employ several adjustment and normalization steps and you can adjust the sequence of response data processing steps to your needs.
With the new package, you can define analysis subgroups suitable to your experiment. Subgroups are available for both, single- and multi-dose samples. Use this feature, for example, to group samples in spike-and-recovery analysis or assay optimization. Statistics for interpolated results and dose-response curve characterization include averages, standard deviations, coefficient of variations, and recovery rates. Visualize results in overlay plots.