From the course: SAS Essential Training: 1 Descriptive Analysis for Healthcare Research

What you should know - SAS Tutorial

From the course: SAS Essential Training: 1 Descriptive 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 need to know basic statistics. You need to be familiar with measurements of central tendency and variation, like mean and standard deviation. You also should be familiar with bivariate statistical tests, such as the chi square test and T test. Second you need to have a basic background in SAS, maybe you took a SAS class in college. As I mentioned in the last movie, you might've learned SAS as part of a business degree, an engineering degree, or some other course of study besides healthcare. Or you may have simply worked at a job where you used SAS a little bit but didn't focus on how to do a complete analysis. If you learned basic SAS that way, that's perfectly fine. But if you do not have a SAS background at all, I recommend you take the SAS related LinkedIn Learning courses listed on the slide. These courses are taught by another author, Jordan Bakerman. Jordan will do a good job helping you prepare for this course. Lastly in order to understand the health data analysis we will be doing in this course, you will need to take two prerequisite courses on LinkedIn Learning on study design, these courses are taught by me and directly relate to the healthcare research we will be doing in this course. If you learned SAS through studying in a healthcare program you might recognize the principles from these courses as based on epidemiology. However these courses are aimed at anyone looking to do big data healthcare studies, even if you have not studied health. This course has eight chapters. In the first three chapters we will concentrate on using SAS for data transformation. In chapter one, we'll prepare for our analysis. You'll learn about the data set we are using and how to use the documentation. You'll also learn our demonstration research objectives. Then in chapter two we'll use SAS to apply exclusions to our native data set to filter in just the rows we need. And in chapter three we'll use SAS to complete the development of our analytic data set. Then on to chapter four where I show you how to make plots in SAS that can help you make analysis decisions based on the visualization of your data. Then in chapter five I demonstrate how to use SAS to complete a descriptive analysis using a categorical variable as a dependent variable. And in chapter six I demonstrate how to do a descriptive analysis with a continuous dependent variable. Once you are done with chapter six you will know how to complete a descriptive analysis in SAS on your own. However, there are different approaches to doing this so if you remain curious check out chapter seven where I demonstrate other approaches to descriptive analysis in SAS. And if you are really enjoying the course, stick around for chapter eight where I demonstrate some tips and tricks in SAS that can help you with your descriptive analysis. This is the first course in a two course series. In this course you'll learn about the health dataset we are using then we will create our analytic dataset together and we will complete two different descriptive analyses, one with a categorical dependent variable and one with a continuous dependent variable. In the second course in this series we will reuse the analytic dataset we created in this course. We will go on to develop two regression models. One to answer the hypothesis associated with the categorical dependent variable, and one to answer the hypothesis for the continuous dependent variable. Each video in the course has exercise files that come with it.

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