From the course: Descriptive Healthcare Analytics in R

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Why conduct bivariate tests?

Why conduct bivariate tests? - R Tutorial

From the course: Descriptive Healthcare Analytics in R

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Why conduct bivariate tests?

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- [Narrator] Welcome to chapter six, section three, where I explain why we conduct bivariate tests when doing descriptive analyses. This lecture is, again, Statistics 101 review. Because I'm going to go over the four bivariate testing situations you can get in, and what people normally do about them. Next, I'm going to explain what bivariate tests get you when you are doing a descriptive analysis and making Table 1. Finally, I'll tell you my opinion of whether or not they are necessary to actually conduct and report in Table 1. Let's first refresh our memories about the bivariate statistical tests we can use. If we have a categorical exposure, like alcohol group, and a categorical outcome, like asthma, then we can do a chi-square test. If we had small cells, we'd have to use a Fisher's exact test. But as you noticed, this is big data. So we do not have small cells in big data. Alright, so now what if the outcome is continuous, like sleep time? Well, if your exposure is categorical and…

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