Learn how to conduct continuous bivariate tests, including t-tests and analyses of variance, and be guided as to presentation.
- [Narrator] Hello there.…In this section, we will finish up…our continuous Table 1 by adding…continuous bivariate tests.…I'm going to start with a demonstration of lm code,…otherwise known as linear model code,…that you need to get the ANOVAs out.…After we fire up that code and get it going,…I'll explain how to interpret the results.…Then, after we get all of our ANOVAs done,…we'll do a few t-tests, copying the results…into our continuous Table 1 all along the way.…
And then we'll be done with our descriptive analysis.…Let's go to R.…So, here is the linear regression/ANOVA code.…I named it 235_Table 1 ANOVAS.…See this lm?…That stands for linear model.…Then you say formula, and you say the Y equals the X.…This is simple linear regression…with one-way ANOVA, just one X.…So we are putting AlCGRP as the X and SLEPTIM2 as the Y.…
Then we say what data we are using, analytic.…See how we turn this into an object called AlcANOVA?…The reason is that in order to get the p-value…and F-test out of the ANOVA, we need to actually make…
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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