The biostatistical methods of the package include :
Response data processing and subgroup analysis
The 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 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.
Document reports and dashboards
New document reports and dashboards further add to the package's value and usability. The dashboards display key attributes of document definitions and calculation results and visualize results in new data plots. The revised design of both reports and dashboards provides greater lucidity with a fresh and modern look, clear, uniformly applied layout, and a uniform color scheme in line with editor. Read more