From the course: Designing Big Data Healthcare Studies, Part Two
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Structure of descriptive table: Table 1 - R Tutorial
From the course: Designing Big Data Healthcare Studies, Part Two
Structure of descriptive table: Table 1
- [Instructor] Next, we will cover the structure of table one, our descriptive table. The purpose of placing table one at the beginning of the manuscript is that it describes your subpopulation. Or put in another way, it describes your analytic data set. It lets the readers, and also you, the analyst, understand the nature of your data set before you move on to doing regression analysis. The main feature of this table is that it stratifies the prevalence of the outcome by levels of the confounders, you are contemplating including in the regression model. But don't worry, you aren't showing up or dissing your regression model by showing a descriptive table. It only includes a bivariate, not a multivariate analysis, and does not control for confounders. Okay, let's look over on the right side of the slide. Here is a diagram of the structure. You'll notice I use D+ and D- to mean our outcome generically, like the notation we used in the two-by-two table in the previous course. And on the…
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Contents
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Descriptive vs. regression analysis3m 58s
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Considerations for categorical outcomes4m 59s
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Structure of descriptive table: Table 13m 45s
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Descriptive table example2m 13s
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Stepwise modeling to answer a hypothesis5m 17s
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Establishing the working model: Part 13m 30s
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Establishing the working model: Part 22m 20s
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Documenting model metadata4m 15s
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Selective stepwise modeling: Breaking the working model4m 27s
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Considering model fit4m 20s
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Selecting and interpreting the final model4m 13s
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