Introduction
Welcome
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What you should know
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Introduction to the course
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How to use the exercise files
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1. What Is the BRFSS?
US risk factors
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Introduction to the BRFSS
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More on the BRFSS
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What is a descriptive BRFSS analysis?
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Cross-sectional analysis in the BRFSS
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Ethical use of BRFSS data
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BRFSS resources
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Choosing R for a BRFSS analysis: Some considerations
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Choosing R for a BRFSS analysis: More considerations
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Installing R
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Navigating in R
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Installing the foreign package
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Installing necessary packages
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2. Designing Your Metadata
Uses of a data dictionary
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How to set up a data dictionary
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Adding to the data dictionary
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Understanding confounders
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Making a web of causation
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Designing confounders: Age and smoking
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Designing confounders: Other demographics
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Designing confounders: Other variables used in analysis
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3. Reading in Data and Applying Exclusions
Reading in BRFSS XPT data
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Naming conventions
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Keeping native variables
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Applying the first exclusion
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Applying the rest of the exclusions
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Operations in code
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Making a data reduction diagram
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Generating exposure
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Generating outcome variables
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4. Preparing for Descriptive Analysis
Generating the age variables
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Generating the smoking variables
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Finalizing the analytic data set
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What is Table 1?
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Reviewing categorical variable distribution
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Reviewing continuous variable distribution
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5. Conducting Descriptive Analysis
Preparing categorical Table 1 shell
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Preparing continuous Table 1 shell
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Adding overall frequencies to categorical Table 1
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Making a frequency macro
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Adding overall frequencies to continuous Table 1
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Completing categorical Table 1
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Completing continuous Table 1
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6. Descriptive Analysis: Weights and Tests
Three truths about using weights
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Conducting a descriptive weighted analysis
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Why conduct bivariate tests?
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Adding categorical bivariate tests to Table 1
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Introduction to ANOVA and linear regression code
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Adding continuous bivariate tests to Table 1
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Conclusion
Review of the metadata
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Uses of metadata
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Review of the process
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Next steps in the BRFSS analysis
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Ex_Files_Healthcare_R.zip
(1.2 MB)