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…
Author
Monika Wahi
Released
12/12/2016This 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
Duration
Views
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Introduction
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Welcome46s
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Introduction to the course1m 22s
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1. What Is the BRFSS?
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US risk factors5m 30s
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Introduction to the BRFSS2m 46s
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More on the BRFSS1m 50s
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Ethical use of BRFSS data4m 38s
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BRFSS resources2m 25s
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Installing R1m 50s
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Navigating in R2m 37s
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2. Designing Your Metadata
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Uses of a data dictionary4m 35s
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Understanding confounders4m 24s
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Making a web of causation6m 28s
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3. Reading in Data and Applying Exclusions
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Reading in BRFSS XPT data6m 57s
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Naming conventions5m 38s
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Keeping native variables5m 15s
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Operations in code3m 52s
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Generating exposure4m 43s
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Generating outcome variables3m 32s
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4. Preparing for Descriptive Analysis
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Generating the age variables4m 18s
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What is Table 1?4m 26s
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5. Conducting Descriptive Analysis
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Making a frequency macro4m 8s
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6. Descriptive Analysis: Weights and Tests
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Conclusion
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Review of the metadata6m 11s
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Uses of metadata5m 26s
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Review of the process3m 39s
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Video: Designing confounders: Age and smoking