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
- [Instructor] Ever wondered how to do a descriptive analysis? Curious about how to use R for health analytics? I'm Monica Wahi, and welcome to my course on descriptive health analytics in R where we will use the publicly available Behavioral Risk Factor Surveillance System, or BRFSS, dataset to create a descriptive analysis using R software. In this course, I'll teach you how to download the dataset and use the BRFSS documentation. I'll also show you how to download R and set that up for your analysis.
Then, together we will generate an analytic dataset and conduct a descriptive analysis complete with bivariate statistical tests. Ready for R? Let's get started.
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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