Learn about linear regression and analysis of variance (ANOVA), with a description of coding and interpretation for descriptive analysis,.
- Hi there.…Before we jump into coding,…I just wanted to prepare you…for what we will see when we run…our ANOVA in Linear Regression Code.…First, I'm going to talk about…linear regression and ANOVA…so I can more easily explain the lm code.…That is because you actually use…linear model code, or lm code,…to get the ANOVA's to come out.…Then I'll explain how to interpret the results.…I'll give you insight on what to pay attention to…and what to ignore.…
Just to remind you of what we are doing…with bivariate tests with a categorical variable…and a continuous variable, we are going to want…to make sure we run ANOVA on three plus level variables…and t-tests on two level variables.…A quick review of our data dictionary on this topic…shows we need t-tests only for SEX and for ASTHMA.…The rest are all three levels at least.…So that's what we'll do,…two t-tests and a bunch of ANOVA's.…
Now this is kind of how it works…in all statistical packages.…You know how when you want to buy a swimsuit top…and you always get the bottom with it…
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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