From the course: Designing Big Data Healthcare Studies, Part One
Unlock this course with a free trial
Join today to access over 25,300 courses taught by industry experts.
Definition of exposure and outcome - R Tutorial
From the course: Designing Big Data Healthcare Studies, Part One
Definition of exposure and outcome
- [Instructor] In this video we will discuss the terms exposure and outcome. We will also talk about two types of analytic approaches. In epidemiology we define two different ways we can approach an analysis. We can do an exploratory analysis or a hypothesis-driven analysis. Let's define exploratory analysis. This type of analysis describes the data but does not presuppose a hypothesis, objective, or research question. Contrast this to a hypothesis-driven analysis. This type of analysis is used to address a hypothesis or answer a research question. Let's consider some examples of each. For exploratory analysis, there are different simple and complex approaches to this as I've listed on the slide. However, it is always easier to do an exploratory analysis overall, because you can just go where you want to with the analysis. You're not restricted to trying to answer a hypothesis. But in a hypothesis-driven analysis,…
Practice while you learn with exercise files
Download the files the instructor uses to teach the course. Follow along and learn by watching, listening and practicing.
Contents
-
-
-
Definition of epidemiology2m 52s
-
(Locked)
Terms about data3m 50s
-
(Locked)
Definition of exposure and outcome3m 25s
-
(Locked)
Populations vs. samples4m 19s
-
(Locked)
Scientific method in epidemiology4m 5s
-
(Locked)
Bradford Hill criteria: Part one4m 49s
-
(Locked)
Bradford Hill criteria: Part two4m 4s
-
-
-
-
-
-