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Course of the Fortbildungsinitiative Statistik

We all read it daily in scientific publications, many of us formulate it umpteen times in our articles. `The results were significant (p<0.05)´. But what does that actually mean? Most scientists believe they know this. They think that this is a kind of probability with which they could be wrong.

For example, 'the probability that my hypothesis is wrong (my substance is not working, etc.), and I only got a significant result by chance, is a maximum of 5%'. This would be nice, but this is totally wrong, because the p-value cannot say anything about the probability to be right or wrong.

In this seminar the p-value is explained, as well as statistical power, type I and type II errors, and the positive predictive value (PPV). And why the large p-value 'fallacy' is one of the most important causes for the current 'replication crisis' in biomedicine.






Prof. Dr. Ulrich Dirnagl, Founding Director QUEST Center | BIH Chair | Research Group Leader

The course is available as a recording.

Please follow this link to hear the lecture of Prof. Ulrich Dirnagl.

Important Information

The current dates for the lecture can be found on the pages of the Fakultätsinitiative. Only accessible via the Charité intranet.

Course language: English

During the pandemic the lecture will be held online, via MS TEAMS.

Please use the registration form on the website of the Fakultätsinitiative (Intranet Charité).