Learn that reasons that typically motivate users to choose to do a BRFSS analysis, and the considerations in choosing R for analysis.
- [Instructor] This movie and the next movie…is to help guide you in selecting a statistical software…to be used for your BRFSS analysis…with me making a pitch for R.…The three main choices of statistical software…to use for analyzing the BRFSS are SAS, SPSS, and R,…although people usually use SAS.…I will go over the pros and cons of using…the various software for BRFSS,…which mainly fall along the theme of SAS…being a perceived default choice for BRFSS…for a number of reasons, including the fact that…R can be very do it yourself.…
Here is a table comparing SAS, SPSS, and R…on a few attributes.…Let's start by focusing on the first two.…The CDC and the states use SAS to store, analyze,…and prepare the BPFSS data,…so naturally all the documentation is in SAS,…and resources and data files are provided for SAS.…In other words, the CDC provides the files…in the file format ASCII,…which is readable by any software…but often needs to be cleaned up.…And SAS XPT, or transport format, that can be…unpacked into a SAS7BDAT data file with SAS code.…
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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