Learn how to develop outcome variables in the analytic data set, including continuous sleep duration and categorical asthma status.
- [Instructor] We are going to accomplish…two main efforts in this movie.…First we are going to clean up our outcome variable…for sleep duration.…Next we will make sure we have binary variable…or flag that is valid for our asthma outcome.…Let's start by reviewing our data dictionary.…We'll look at our data dictionary…but I just wanted to give you an overview…on the slide.…We need to remove the rows with no information…on sleep time and we want to turn our asthma variable…into an indicator variable…with only ones and zeroes.…
Now we'll go to our data dictionary.…Remember our sleep duration variable?…I'm going to show you how to code sleep time 2…which eliminates these unknown records.…Technically I don't have to show you how to do this…with our project since we kicked out the records…with unknown variable in sleep time 1…but it's helpful to see how you would do it…if we had not done that.…This shows we need to get rid of the 77s…and the 99s.…Let's also look at the asthma tab while we're over here…and on the asthma 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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