The study looked at tests used to see if different sets of data are related. Some tests were missing important information, so the study added new data to make the tests more accurate. They found that when data has a pattern over time, some tests need to be adjusted to give the right results. This means that when analyzing data with a trend, it's important to use the right methods to get accurate conclusions.