Tag Archives: access to healthcare

AI Careers: Riding the Bubble

If you are a data scientist, you may want to do statistics, but you may also be interested in machine learning and artificial intelligence.

AI careers are not easy to navigate. Read my blog post for foolproof advice for those interested in building a career in AI.

Dataset Source Documentation: Necessary for Data Science Projects with Multiple Data Sources

If you work on a big data project with multiple source datasets, you run the risk of forgetting exactly how you blended them together.

Dataset source documentation is good to keep when you are doing an analysis with data from multiple datasets. Read my blog to learn how easy it is to throw together some quick dataset source documentation in PowerPoint so that you don’t forget what you did.

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!

Internship Strategy for Data Science: Download our Guide!

In data science, you can learn applied skills by being part of an internship at a noted organization.

Internship strategy for data science is not obvious, and even if you are in a college program, they often expect you to find your own internship. Download our internship strategy guide and get the experience you want!

Rapid Application Development Public Health Style

If you work on front-ends or back-ends of health applications, you are probably already familiar with the concepts of Agile and rapid application development.

“Rapid application development” (RAD) refers to an approach to designing and developing computer applications. In public health and healthcare, we are not taught about application development – but it’s good for us to learn about it, since we have to deal with data from health applications. My blog post talks about the RAD approach I […]

Statistics Trivia for Data Scientists

Public health, artificial intelligence, and data science trivia! Fun! Educational! Test your knowledge!

Statistics trivia for data scientists will refresh your memory from the courses you’ve taken – or maybe teach you something new! Visit my blog to find out!

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!

Referring to Columns in R by Name Rather than Number has Pros and Cons

There are different ways to refer to variables in R dataframes. You can use a field names, and you can also use field numbers.

Referring to columns in R can be done using both number and field name syntax. Although field name syntax is easier to use in programming, my blog demonstrates how you can use column numbers to make automation easier.

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

The Indian Health Service (IHS) is the federal agency in the United States in charge of reservation health.

“What is the IHS?” is a reasonable question to ask, because there are a few things that are very special about the IHS and its healthcare facilities. At first glance, these special characteristics may seem positive, but they actually have devastating unintended consequences, as I describe in my blog post.

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