When you’re reading research, it’s easy to skim to the conclusion and see what the authors had to say. But what about of the findings? The p-values, the confidence intervals, the power analysis? How do you tell if the statistical results were significant? Or if a test was sensitive enough? What do these phrases even mean?
Join clinical researchers Jessie Hawkins, PhD and Christy Hires, MPH for this 4-part guide to interpreting medical statistics. This workshop covers the most commonly used analysis methods, from t-tests all the way to MANOVA, and empowers you to better understand the nuance of clinical and epidemiological studies.
The best part? No math is required! The emphasis of this workshop is on interpreting medical statistics, not conducting statistical analysis. By the end of this workshop, you’ll be able to read over the results section of a clinical trial or meta analysis with ease, understanding exactly what the researchers found, and interpreting those results yourself.