From the course: Descriptive Healthcare Analytics in R
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Making a data reduction diagram - R Tutorial
From the course: Descriptive Healthcare Analytics in R
Making a data reduction diagram
- [Instructor] In this section, you will have to use diagramming software. Like I said before, I use online software called Gliffy.com, and I'll show you how that turned out for me, then, referring to our data reduction spreadsheet, we'll walk through the diagram together. There are a few reasons why you should make a data reduction diagram. Often these are included in publications. First, it helps you be clear to your readers about how you defined your subpopulation, that's the subject of your study. Next, it allows the audience to evaluate selection bias. Image that almost all of the alcohol drinking variables were invalid, and that the ones that were filled in, said the respondents drank very little alcohol. That would suggest selection bias, or that people who drank a lot didn't report it, and so they selected themselves out of our criteria in a biased way. Finally, having a clear diagram allows others to replicate defining your exact subpopulation in their future studies, if they…
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Contents
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Reading in BRFSS XPT data6m 57s
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(Locked)
Naming conventions5m 38s
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(Locked)
Keeping native variables5m 15s
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(Locked)
Applying the first exclusion6m 3s
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(Locked)
Applying the rest of the exclusions4m 57s
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(Locked)
Operations in code3m 52s
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(Locked)
Making a data reduction diagram4m 35s
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Generating exposure4m 43s
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(Locked)
Generating outcome variables3m 32s
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