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Tag Archives: higher education
The Plan-Do-Study-Act model is promoted for quality assurance/quality improvement in healthcare. But does it have any peer-reviewed evidence base behind it? I examine that in this blog post.
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
We experience artificial intelligence all the time on the internet in terms of friend suggestions on social media, internet ads that reflect what we have been searching for, and “smart” recommendations from online stores. But the reality is that even the people who build those formulas cannot usually explain why you were shown a certain […]
Lipedema, a severe metabolic disorder, is more common than originally thought. A non-trivial proportion of women who struggle with obesity actually have undiagnosed lipedema. I am on a research team that just published a peer-reviewed article that presents the ketogenic hypothesis for lipedema, and here, I present a summary.
This lively panel discussed many topics around designing and implementing machine learning pipelines. Two main issues were identified. The first is that you really have to take some time to do exploratory research and define the problem. The second is that you need to also understand the business rules and context behind the data.
Get to know three of my favorite SAS documentation pages: the one with sort order, the one that lists all the SAS formats, and the one that explains all the SAS operators and expressions!
Even if you do not deal directly with cryptography, the need to maintain data privacy often leads data scientists to need to study cryptography. This basic online course is part of an ethical hacking certification and gives a basic overview of issues with data transfer and cryptography.
If you receive payroll in the US, you can see that the data on the payroll stub is pretty complicated. This course in payroll is helpful for data scientists who find themselves analyzing US payroll data, because it explains the business rules and regulations behind the data.
SAS is known for big data and data warehousing, but how do you actually design and build a SAS data warehouse or data lake? What datasets do you include? How do you transform them? How do you serve warehouse users? How do you manage your developers? This book has your answers!