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Statistical significance

What does statistically significant mean?

In statistical contexts, the word significant means that the results are so certain that one knows that they are not down to chance. Determined models and methods exist to be able to state that the risk of the result being due to random factors is so small that it is possible to draw certain scientific conclusions from a study.

Accepted statistical models

When we write that the participants in a study improved significantly through training with IQoro, this means that according to accepted statistical models, we can conclude that the improvement genuinely occurred because of the treatment and not for any other reason.

How statistical significance is achieved in a study varies. It depends, among other things, on the number of participants in the study and how clear the result is.

There are different requirements for different types of studies

The requirement for the level of statistical significance in a study may also vary.

It therefore takes more participants to achieve statistical significance for a medical study where one needs to be able to assess the risk of unusual side effects, than is required for a scientific study on IQoro, for example.

It is known that IQoro is a class 1 medical device that is risk-free to use. Therefore, studies can be done comparing the efficacy of IQoro on different groups that have fewer participants in the number than you need when, for example, developing a completely new vaccine.

Collaboration with statisticians

Statistical significance is calculated through statistical models. In the studies on training with IQoro, the number of participants has been developed in collaboration with a statistician to provide a sufficient basis to be able to state that the result depends on the treatment and not on chance.

Significance is often expressed in studies as p < 0.05 for example, which means that there is less than a five percent chance that the result is down to chance or p < 0.001 which means that there is less than one per thousand risk (0.1 %) that the result is down to chance.

More statistically significant studies make the results even safer

Since it is almost never possible to completely exclude chance in a single study, or that a study is influenced by factors in different ways that are difficult to assess, further research is important.

The results of the studies on training with IQoro are in line with each other and each achieve statistically significant results.