Biostatistics Article 6: What a P-value can and cannot tell you with Prof. Konstantin Slavin

In this episode, Professor Konstantin Slavin reads aloud an article by Garston Liang, Quentin F. Gronau, and Alexander Thorpe which discusses the p-value, a fundamental concept in statistical analysis, and clarify what it can and cannot tell you about your data. Key points include: What a p-value tells you: The probability that a null hypothesis generated the observed data. What a p-value cannot tell you: The effect size, the quality of alternative hypotheses, the presence of an effect, details of the sampling plan, or data pre-processing steps. The hosts explore the limitations of p-values, emphasizing the importance of understanding their context and proper usage in scientific research. Tune in to gain a deeper insight into the role of p-values in hypothesis testing and avoid common misconceptions. Resources: Biostatistics articles on the INS website What a P-value can and cannot tell you article