From the course: SAS Essential Training: 2 Regression Analysis for Healthcare Research

What you should know - SAS Tutorial

From the course: SAS Essential Training: 2 Regression Analysis for Healthcare Research

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What you should know

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- [Instructor] There are three areas of knowledge you should have before beginning this course. First, you should have a background in conducting basic regression analysis in statistics. You should have already been introduced to simple and multivariate linear and logistic regression, and have been exposed to interpreting the results from regression models. It's not necessary that you have done these regressions in SaaS. If you used another statistical package, but are familiar with how to do a basic regression, that's fine. Of course, since SaaS is the regression star, you'll want to see what it's like in SaaS. As long as you know regression basics, you'll be fine in this course. Second, you need to have a basic background in SaaS. Since this current course is the second course in a two-course series, please make sure that you take the first course before you proceed with this one. It's called SaaS Essential Training: Descriptive Analysis for Healthcare Research. In this course, we are first going to cover linear regression. In chapter one, we'll prepare for linear regression. And in chapter two, we'll do the linear regression modeling. Our goal will be to develop a model and put it on a spreadsheet like the one you see on the slide. Then we'll tackle logistic regression. In chapter three, we'll prepare for logistic regression. And then in chapter four, we'll create our models. Again, our goal will be to develop a model that we can display in an Excel spreadsheet, like the one on the slide. And then in chapter five, I'll show you how to actually take the models you developed for linear and logistic regression and put them on the spreadsheets I'm showing you. I'll also show you alternative ways you can choose to present your models. So with me, you always get over 100%. So I included a couple of bonus chapters for you. In chapter six, we talk about some issues in regression, including collinearity and interactions, but we do not get hung up on these issues. Next, in chapter seven, I share with you some of my regression tips about various topics, including categorizing variables and choosing reference groups. Are you all up to speed? Yes? No? Well, if the answer is yes, let us proceed.

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