Get tips on planning to code several demographic variables.
- [Instructor] Onto Chapter 2, section 7,…where we proceed to designing demographic confounders.…So, this lecture will show you…how to design variables for ethnicity, race,…and other demographics.…The way the variables come in in the BRFSS,…and in most data sets,…are not suitable for analysis.…You'll understand why as I walk you through this.…This is why you have to almost always redesign…each variable you want to use.…Let's look at how I did this in the data dictionary.…
And back at our dictionary,…we can see that our smoking grouping variable…and the smoking indicator variable is documented.…Next on the list, we have two,…what you call two-state flags,…because they can only be 1 and 0,…and that is _HISPANC and SEX.…But as you can see, I redid those variables too.…Please notice that for some reason…they did not include the second I in Hispanic…in the variable.…So, I call it Hispanc!…I don't know who names these variables.…But you get to name your own when you design them.…
So, as you can see here on the Hispanc tab,…
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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