From the course: SAS Essential Training: 2 Regression Analysis for Healthcare Research
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Describe your regression analysis - SAS Tutorial
From the course: SAS Essential Training: 2 Regression Analysis for Healthcare Research
Describe your regression analysis
- [Instructor] Now that you are all done with your models, you need to talk about them. This movie will show you how to describe what you found in your regression analysis. Let's start with linear regression. Remember our hypothesis way at the beginning? Among veterans, diabetes status is statistically significantly associated with average hours of sleep per night. Notice how we did not choose a direction that diabetes would lengthen or shorten sleep. We just said they were associated. So, here on the slide is our hypothesis, and in the little red box, I have a little cheat for you. A reminder of the slope and P value in the final linear regression model for our exposure variable, DIABFLAG. Remember, it was statistically significant because the P value was less than 0.05, but the slope itself was so small. It was only 0.0410, so it was not really clinically significant. So, this is how I'd say it. After controlling for confounding variables, among veterans, having diabetes was…
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