Effect Size, p-value, and Accuracy

About this Class

This presentation will explain the difference between the mean and standard deviation of a set of values and the standard error of the mean. The parameters involved in comparing two normally distributed populations relative to a single value are the sample size, the effect size, the standard deviations of the distributions, the significance level, and the power. We will discuss the relationship between these parameters and accuracy, and how increasing the sample size will, in general, not change the effect size or the standard deviations of the populations, but will increase the significance (i.e. decrease the p-value) of the effect size. This will be a hybrid event. This session will be recorded, and materials will be posted on the ABCS training site and also shared with attendees a few days after the event.

For additional details and questions, please contact Natasha Pacheco (natasha.pacheco@nih.gov), Advanced Biomedical Computational Science group, Frederick National Laboratory for Cancer Research.