Learn the reasons for conducting bivariate tests in a BRFSS descriptive analysis, and how they can be interpreted.
- [Narrator] Welcome to chapter six, section three,…where I explain why we conduct bivariate tests…when doing descriptive analyses.…This lecture is, again, Statistics 101 review.…Because I'm going to go over the four bivariate…testing situations you can get in,…and what people normally do about them.…Next, I'm going to explain what bivariate tests…get you when you are doing a descriptive analysis…and making Table 1.…Finally, I'll tell you my opinion…of whether or not they are necessary…to actually conduct and report in Table 1.…
Let's first refresh our memories…about the bivariate statistical tests we can use.…If we have a categorical exposure, like alcohol group,…and a categorical outcome, like asthma,…then we can do a chi-square test.…If we had small cells, we'd have to use…a Fisher's exact test.…But as you noticed, this is big data.…So we do not have small cells in big data.…Alright, so now what if the outcome…is continuous, like sleep time?…Well, if your exposure is categorical…and has at least three categories,…
This detailed, practical course is designed to help those in the field of public health, medicine, and data science to edit, analyze, and interpret data. Learn how to code new variables, use the forward-stepwise modeling process, and document your decisions. Find out how to visualize results by generating charts and graphics, and how to add tables and figures to your documentation. This course helps equip you to independently design, develop, and execute a full BRFSS analysis, and even publish your results in scientific publications or journals.
- Reviewing survey data and documentation
- Conducting a BRFSS analysis
- Understanding naming conventions
- Editing variables
- Reviewing distributions
- Generating an analytic dataset
- Developing descriptive statistics to answer prespecified hypotheses
- Preparing publication-worthy tables and plots
Skill Level Advanced
1. What Is the BRFSS?
2. Designing Your Metadata
3. Reading in Data and Applying Exclusions
4. Preparing for Descriptive Analysis
5. Conducting Descriptive Analysis
Making a frequency macro4m 8s
6. Descriptive Analysis: Weights and Tests
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