Finding the needle in the haystack: Using outlier detection to assess data quality

In this era of big data, it is difficult to know when a peculiar trend represents a true signal or an artifact. This project will search for the potential outliers amidst the many influenza vaccine studies that have been conducted to date. We will test whether odd trends hold across other studies and determine a "quality score" that quantifies our trust in each dataset.