Tag Archives: administrative policies

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.

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 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.

Interview Preparation for Data Science Positions: Tips and Tricks

You can actually prepare for interviewing for data science positions by doing certain activities, like looking up common questions, and practicing answers.

Interview preparation for data science jobs can involve taking several simple, actionable steps to make yourself feel confident and ready to answer questions with ease. Read my blog post for my tips and tricks!

“Bad Blood” Highlights the Issues with No Administrative Barrier between Research and Clinical Data: Part 5 of 5

In order to get approval by the food and drug administration clinical and research data have to be organized

Read my last post in a series on data-related misconduct at startup Theranos outlined in the book, “Bad Blood”, where I discuss their lack of administrative barrier between research and clinical data.