Discover a method of planning o develop several analytic variables.
- [Instructor] Welcome to chapter two section six…where we will design the confounding variables…we will use for age and smoking in our analysis.…So where are we in our journey?…We selected one hypothesis per outcome variable…to guide our analyses…and put our native variables in our data dictionary.…In the last section, I showed you my final…web of causation, which included the confounders…I am choosing to include in the analysis.…The next step is I need to go into the code book…and find all the native variables that correspond…to those variables I selected as potential confounders.…
I need to make sure I retain these in the analytic data set.…Next, as you saw with the exposure and outcome,…I need to redesign most if not all of the variables…to make it so I can use them in the descriptive analysis.…Also, I will need indicator variables…for multi-level categorical variables.…After making my web of causation,…I added age and smoking to my data dictionary.…Let's see what I did.…So you can easily see I made the native variables blue…
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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