Tag Archives: Council on Education in Public Health

Color in Visualizations: Using it to its Full Communicative Advantage

When using big data, you will want to make visualizations. How do you use color to the greatest communicative advantage?

Color in visualizations of data curation and other data science documentation can be used to enhance communication – I show you how!

Text and Arrows in Dataviz Can Greatly Improve Understanding

Adding text and arrows to diagrams can help your audience navigate the image, and understand what you are trying to communicate.

Text and arrows in dataviz, if used wisely, can help your audience understand something very abstract, like a data pipeline. Read my blog post for tips in choosing images for your data visualizations!

Table Editing in R is Easy! Here Are a Few Tricks…

When you use a data analysis program like R or SAS, you often have to do some data editing. It can be difficult because the software was intended for calculations, not transformation.

Table editing in R is easier than in SAS, because you can refer to columns, rows, and individual cells in the same way you do in MS Excel. Read my blog post for example R table editing code.

R for Logistic Regression: Example from Epidemiology and Biostatistics

Logistic regression calculate the log odds of the probability of the outcome. Many people are used to using SAS for logistic regression, but you can also use R.

R for logistic regression in health data analytics is a reasonable choice, if you know what packages to use. You don’t have to use SAS! My blog post provides you example R code and a tutorial!

CitePeeps: Want to Increase Citations to Your Research? Join our Online Community!

CitePeeps is an online community of scientific authors who are interested in increasing the number of citations to their written works.

CitePeeps is a new online community of scientific authors focused on increasing the number of citations to their published works. Join us!

Benchmarking Runtime is Different in SAS Compared to Other Programs

How do you measure how long it takes for code to run in different programs? And why would you want to measure something like that? Mainly, the reason to benchmark runtime is so that you can figure out how to optimize your code.

Benchmarking runtime is different in SAS compared to other programs, where you have to request the system time before and after the code you want to time and use variables to do subtraction, as I demonstrate in this blog post.

US Public Health Alphabet Soup Explained: What is the ONC?

Before the ONC office was established in 2009, there was no federal oversight of medical record systems.

“What is the ONC?” is what I used to ask before I realized it involves health technology. Although ONC just means “Office of the National Coordinator”, this agency is now known as HealthIT.gov, as I explain in my blog post.

US Public Health Alphabet Soup Explained: What is the SAMHSA?

The Substance Abuse and Mental Health Services Administration or SAMHSA is an agency that separates mental health from physical health.

What does the SAMHSA actually do for mental health and substance abuse patients in the US? The answer is, “nothing directly” – however, indirectly, SAMHSA has had a profound impact on behavioral health patients, and the result has not always been positive, as you can read in my blog post.

Four Levels of Intervention for Public Health: How to Apply This Framework

Four levels of public health interventions should be addressed when dealing with public health problems.

Four levels of intervention is a framework we use in public health to think about how to attack a problem. I explain it and give a few examples of application in my blog post (along with a video).

US Public Health Alphabet Soup Explained: What is the HRSA?

Local health departments are funded by HRSA which provides grants to them to help them with community health

“What is the HRSA?” can be answered two ways: with a short answer, and a long answer. The short answer is that it is the agency that funds public health departments in the United States. The long answer, which I unpack in my blog post, is more nuanced, harrowing, and ultimately, depressing.

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