Find out how to enter information into the data dictionary to help define new variables for the analysis.
- [Instructor] Finally, we've made it to the last section…of Chapter two where we will finalize the design…of our confounders.…So referring to my web of causation,…there are only a few confounders left to include:…self-reported general health,…whether or not the respondent has health insurance…or a health plan, highest education level of the respondent,…respondent's household income and obesity status,…and respondent's exercise habits.…I added these to the dictionary so let's go take a look.…
Here's the general health question.…This is a helpful question…for adjusting for a chronic disease.…Rather than putting all the diseases in…which can be a problem in modeling,…the general health question tends to take care…of all that variation.…Let's look at the GENHLTH tab.…You will see that the grouping variable I designed,…GENHLTH2, is almost like the native variable…but groups together the Refused and unknown…but you will see that I only make indicator variables…for the FAIRHLTH level and the POORHLTH level.…
The rest of the levels are reference levels.…
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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