Learn how to conduct a full analysis of healthcare datasets using R by analyzing the Behavioral Risk Factor Surveillance System (BRFSS), a public health surveillance survey.
- [Instructor] Ever wondered how to do a descriptive analysis? Curious about how to use R for health analytics? I'm Monica Wahi, and welcome to my course on descriptive health analytics in R where we will use the publicly available Behavioral Risk Factor Surveillance System, or BRFSS, dataset to create a descriptive analysis using R software. In this course, I'll teach you how to download the dataset and use the BRFSS documentation. I'll also show you how to download R and set that up for your analysis.
Then, together we will generate an analytic dataset and conduct a descriptive analysis complete with bivariate statistical tests. Ready for R? Let's get started.
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
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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: Welcome