Tag Archives: clinical research

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.

End-to-End AI Pipelines: Can Academics Be Taught How to Do Them?

What is an end-to-end AI pipeline? And why are academics so bad at making one? These are different ideas we will examine in this blog post.

End-to-end AI pipelines are being created routinely in industry, and one complaint is that academics can only contribute to one component of the pipeline. Really? Read my blog post for an alternative viewpoint!

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.

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

Veterans in the United States can choose healthcare from a public system after leaving the active duty military.

What is the VA – which stands for Veterans Affairs? This United States federal agency is tasked with ensuring veterans receive their benefits – especially health benefits. Unfortunately, as my blog post explains, the VA is facing a myriad of challenges today, including funding problems as well as corruption.

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

The National Institutes of Health is a federal agency that funds health research such as clinical trials

Wondering what we mean by the National Institutes of Health (NIH)? In my blog post, I explain the NIH’s role in appropriating funding for research, and demystify its role in implementing federal priorities.

GPower Case Example Shows How to Calculate and Document Sample Size

This case example shows a use case where we estimated sample size in GPower under different conditions.

GPower case example shows a use-case where we needed to select an outcome measure for our study, then do a power calculation for sample size required under different outcome effect size scenarios. My blog post shows what I did, and how I documented/curated the results.

Recommended Model for QA/QI in Healthcare: Epidemiology and Biostatistics, not PDSA! Part 5 of 5

The Plan Do Study Act model does not use traditional epidemiological study designs that are peer-reviewed

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.

Quality Improvement in Healthcare: What is the PDSA Model, and How Well Does it Work for QA/QI? Part 1 of 5

Continuous quality improvement through conducting research projects to get evidence to inform change

Wondering what the Plan-Do-Study-Act (PDSA) Model is, and if you should adopt it for quality improvement in healthcare? Read my series of blog posts on the subject for my personal experience and recommendations

Data Science of Data Collection: Free Course and Course Series!

Take this free online course in the data science of data collection to further your career

Learn the “data science of data collection” through my free introductory course! If you want to learn more, continue with the whole six-course series. Great for graduate students and QA/QI professionals!