The problem

In the context of randomized clinical trials, healthcare professionals are asked to compare two different treatments or one treatment with a placebo in terms of their effectiveness in improving the levels of a biomarker between two time points (e.g. start of study – after 6 months of treatment administration). For example, a research group wishes to develop a new treatment that will contribute to the reduction of LDL-cholesterol levels after 6 months of administration, and in order to support its necessity and utility in the treatment of patients at high cardiovascular risk, they will it needs to compare it with usual therapeutic practice and demonstrate that it leads to a significantly greater reduction in LDL-cholesterol levels.

The purpose

To indicate the most effective treatment in regards to the improvement of the levels of a biomarker between two time points in subjects participating in a clinical trial.

The solution

With the use of the appropriate statistical methodology (Independent samples t-test, Mann Whitney U test) and after the test of the assumptions, the two therapeutic approaches that the user will insert in the algorithm will be compared in terms of the improvement of a biomarker between two time points of individuals, and the most effective treatment will be identified.

The benefit

Healthcare professionals will be able to easily, quickly and without prior statistical knowledge, compare the two therapeutic approaches they wish to improve a biomarker between two time points of the individuals participating in their study, and thus arrive at the conclusion about which treatment is most effective.