Learn how to develop a web of causation to identify confounders.
- [Instructor] Welcome to Chapter Two, Section Five.…Where we work some more with confounders.…In this section, we will identify confounders…by looking in the literature.…And by making a web of causation.…I'll give brief examples of both.…To identify confounders, we need some practical hypotheses.…We already have selected a sub-population, veterans,…and an exposure, alcohol drinking.…Let's choose two different outcomes so I can demonstrate…two different types of descriptive analyses.…
Sleep duration, which is continuous variable,…and asthma status, which is a binary variable.…So our goal is to identify confounding variables…between our exposure, alcohol drinking,…and our outcomes, which are sleep duration and asthma,…which are not on the causal pathway…between the exposure and the outcome.…And a good way to do that is to go shop…in the scientific literature.…Here is an article from BRFSS about insufficient rest…and sleep among veterans. Let's go to Table 1.…
Here we are. You will see that they have stratified veterans…
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: Making a web of causation