P-values: What They Are, What They Mean, and How to Use Them
To Know
About this Class
The P-value is a cornerstone notion in statistics that is often used as the main deciding factor in determining the conclusiveness and reliability of empirical findings. Despite its ubiquity as a data-analysis feature in biological sciences, the rigorous definition, study, and interpretation of P-values can be elusive for practitioners. In this lecture, I will de-mystify P-values and explain their proper use in statistical hypothesis testing and related methodologies. Our main goal will be to look beyond the simplistic “P ≤ 0.05” rule and learn to regard P-values as valuable analytic tools rather than a mere formality. Beginner level of statistical knowledge is expected, intermediate is preferred.
This session will be recorded, and all materials will be posted on our training website and shared with attendees a few days after the event. In addition, the Advanced Biomedical Computational Science (ABCS) group at Frederick National Lab (FNL) provides statistical analysis and consultation for NCI and FNL laboratories. ABCS also hosts virtual office hours every Wednesday from 12:00–1:00 p.m. ET on Teams. For more details, please contact Natasha Pacheco.