Making upset plots with R package UpSetR is an easy way to visualize patterns of attributes in your data. My blog post demonstrates making patterns of co-morbidities in health survey respondents from the BRFSS, and walks you through setting text and color options in the code.
Tag Archives: teach data science
Referring to variables in processing is different conceptually when thinking about SAS compared to R. I explain the differences in my blog post.
Answer your data science questions by attending my livestreams on YouTube and interacting in chat! Learn more about this in my blog post.
Looking for a SAS-R integration example that uses the best of both worlds? I show you a use-case where I was in a hurry, and did transformation in R with the analysis in SAS!
Want to compare multiple rankings on two competing items – like hotels, restaurants, or colleges? I show you an example of using a dumbbell plot for comparison in R with the ggalt package for this exact use-case!
You might wonder what CMS – the Centers for Medicare and Medicaid Services – actually does. This blog post provides an overview of CMS’s role and activity in the US healthcare system.
Getting data for meta-analysis together can be challenging, so I walk you through the simple steps I take, starting with the scientific literature, and ending with a gorgeous and evidence-based Forrest plot!
The United States (US) Center for Disease Control and Prevention (CDC) was in the spotlight during the COVID-19 pandemic. But as I describe in this blog post, it is only as good as its director.
I describe the three steps of my alternative model to the Plan-Do-Study-Act (PDSA) model for quality assurance/quality improvement (QA/QI) in healthcare.
Want an alternative to the Plan-Do-Study-Act (PDSA) model for quality assurance/quality improvement (QA/QI) in healthcare? I recommend approaching QA/QI a different way, by thinking about the various functions of the QA/QI department.
- 1
- 2