In March 2016, the American Statistical Associate (ASA) released a statement on statistical significance and P-Values with a sub title to that statement:
“Provides Principles to Improve the Conduct and Interpretation of Quantitative Science”
This statement and the motivation behind it created a roar of discussions and debates within the scientific community.
What is a P-Value?
“Informally, a p-value is the probability under a specified statistical distribution that a statistical summary of the data (for example, the sample mean difference between two compared groups) would be equal to or more extreme than its observed value.” (from ASA’s statement).
The ASA provides six principles for correct use and interpretation of P-Values. The presentation will provide some background on statistical testing as well as insights on what a P-Value is its proper use, especially in the context of clinical trials.
Presented By: Oren Bar-ilan
, Head of Global Non-Clinical Statistics, Teva Pharmaceuticals Ltd.