Learn how to apply the first exclusion, veteran status, to the analytic data set, and how to keep documentation in a data reduction spreadsheet.
- [Instructor] In this movie first…I'm going to tell you who I am going to exclude…from the data set philosophically and how I decided that.…Then I'm going to show you how to apply…the first exclusion and document the results of that.…So the goal of what we're going to do…in this part of the chapter is to remove…all the rows in our data set we don't need.…We don't need anyone who is not a veteran…because our sub-population is veterans.…We also can't use anyone who doesn't have a valid…measurement of the exposure, which is alcohol drinking,…and the outcomes, which are sleep duration…and asthma status.…
Now just to be clear, we are only keeping…the yeses for veterans, but when it comes…to exposure and outcome, we keep the yeses and the nos.…We keep everything except unknowns,…so our big exclusions should come first,…kicking out all the non-veterans.…But then we also need to kick out the veterans…who don't tell us about their alcohol habits,…their sleep habits, or their asthma status.…Now some people like to get rid of records…
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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