Review an example of conducting a simple weighted analysis using the BRFSS weights. An example interpretation spreadsheet is shown.
- [Teacher] It's Chapter 6, Section 2,…where I give you a quick and dirty example…of conducting a weighted analysis.…In this section, I'll show some R code I made…that's not part of our official series of code,…or R-movie, as I keep calling it.…It's just a quick and dirty example, like I said.…I'll show you how to keep the weight variables…when we read in the data,…and then I'll show you the code that lets you…enter the weighting variable…into the descriptive analysis.…Then we will look at the output and interpret it.…
Here's my example for you.…I'm going to show you how to calculate…state-based rates of asthma.…Remember, in order to do this, we can't remove any rows.…So you won't see any subset command.…Also, remember that if there is any subpopulation…that's big in the state that has a high rate of asthma,…that will blow up the overall state rate…when we use the weights.…That's the purpose of using them.…So now, join me as we dip our toes into the waters…of using the BRFSS weights with some example coding.…
Here is my 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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