Learn how to use the documented exclusion frequencies in the data reduction spreadsheet to make a data reduction diagram.
- [Instructor] I will show you how to generate…the exposure variables we will be using in this analysis.…First, we will go to our exposure, alcohol.…We'll start by generating the grouping variable, and then…we will continue by generating the indicator variables.…One for drink monthly and one for drink weekly.…If you open the data dictionary,…you will see that these are the names…of the calculated variables we are preparing.…I'll show them to you in the data dictionary,…but I'll summarize them here.…
We are making a grouping variable for alcohol,…and indicator variables for drinking monthly…and drinking weekly. Next, we are cleaning up the…sleep time variable by removing rows coded as 77 or 99.…Now this is just an academic exercise in this data set,…since we already excluded them.…But I just wanted to show you how to do it.…Finally, we make a binary asthma variable.…But again, we excluded all the unknowns…so this is just a demonstration.…Okay, now let's go to our data dictionary…and look at the alcohol variable.…
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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