Hypothesis Tests and P-Values

Description: Blog article describing how to correctly interpret a “non-significant” p-value.

Link: Article

Who created this resource: Thomas G. Stewart, PhD, Assistant Professor of Biostatistics, VICTR Research Methods Program at Vanderbilt University Medical Center

What does this resource offer: This resource is a blog article intended to help readers avoid over-interpreting study results when the p-value of interest is not significant, which is one of the most common mistakes in clinical research.  To help readers understand that “not significantly different” doesn’t mean “the same”, it explains the proper way to show that two groups are similar with respect to an outcome.  Simple clinical research examples are used throughout.