Find out what Table 1 means and the role it plays in a descriptive analysis.
- [Instructor] Welcome to chapter four,…section four, where you finally learn…what Table 1 is.…First, I'm going to describe to you what Table 1 is.…I'm going to also describe univariate, bivariate…and multivariate analyses, and how Table 1…and descriptive analysis fits in those definitions.…I'm going to show you how I set up a table shell…in Excel to show you what a Table 1 is,…and how it's going to look when we are done.…We'll go over how I made the table shell…in the next chapter.…
So, I'm just giving you a sneak peek now.…Okay, I promised I'd explain to you what Table 1 is.…I want to be clear that we call it Table 1,…but sometimes it's actually Table 2 or 3.…If you put a table earlier in the report,…then you can't really call it Table 1.…But the reason we refer to it in the industry…as Table 1 is that this should be the first part…of your results.…A lot of people don't realize that you always need…a descriptive analysis, even if you plan to later go on…and do a regression, or multivariate analysis.…
And remember, we aren't looking at the whole data set…
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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