Misinterpretation of the P-value P-value - Probability for a given statistical model under the null hypothesis (=hypothesis stipulating the equality of 2 statistical parameters) to obtain the same as or of greater magnitude than the actual observed results 1) P-value does not measure the probability of a hypothesis to be true or produced by chance 2) The lower the pretest probability of a hypothesis, the more power is needed to demonstrate the hypothesis 3) P-value implies the statistical significance and does not explain the clinical significance of an effect or result By Dr. Maxime Beydon via Dr. Benjamin Terrier @TerrierBen #PValue #Misinterpretation #biostatistics #diagnosis #pitfalls
