From the course: Designing Big Data Healthcare Studies, Part One
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Odds ratio in a cross-sectional study - R Tutorial
From the course: Designing Big Data Healthcare Studies, Part One
Odds ratio in a cross-sectional study
- [Instructor] In this video, we will talk about another measure of association that can be used in a cross-sectional study, called the odds ratio. When I hear the word "odds," I always think about gambling and poker, and that's usually the setting in which odds is discussed. But for an epidemiologic odds ratio, let's go back to the same completed two by two table for our cross-sectional study on bicycle helmets and head injury. Last time, we started by calculating the prevalence. This time, we'll start by calculating the odds. In the exposed, the formula for the odds is A over B. So, the odds of the helmet users having a head injury in a bicycle accident is 11 divided by 141, which is 0.08. In this case, 0.08 represents the odds of the outcome in the exposed. Now, we'll do the odds for the non-users, which is C over D, or 27 over 173, and that comes out 0.16, and as you probably guessed, 0.16 represents the odds of the…
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