Statistics, what you always wanted to know about the p-value
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.
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).