From the course: Designing Big Data Healthcare Studies, Part One

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Descriptive vs. analytic study designs

Descriptive vs. analytic study designs - R Tutorial

From the course: Designing Big Data Healthcare Studies, Part One

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Descriptive vs. analytic study designs

- [Instructor] In this video, we will discuss the difference between descriptive and analytic study designs. So let us recall from last video the study design hierarchy. And you will also recall how we determined in the last video that observational study data sets are the easiest and probably most appropriate to use for big data healthcare analysis. In addition, data science projects are always observational studies because data scientists cannot assign an intervention, therefore we are focusing on the observational study side of the hierarchy. And the two types of observational study designs are descriptive and analytic. Let's look at the conceptual differences between these two different approaches. Remember in chapter one how we discussed the components of a hypothesis? Well, you will see here that we revisit that concept. In a descriptive study, you can do exploratory analysis or hypothesis driven analysis. But in contrast, all analytic studies are hypothesis driven. How you can…

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