Getting data for meta-analysis together can be challenging, so I walk you through the simple steps I take, starting with the scientific literature, and ending with a gorgeous and evidence-based Forrest plot!
Want an alternative to the Plan-Do-Study-Act (PDSA) model for quality assurance/quality improvement (QA/QI) in healthcare? I recommend approaching QA/QI a different way, by thinking about the various functions of the QA/QI department.
The book “Bad Blood” describes the fall of startup unicorn Theranos, but also provides insight into the company’s abject failure at data stewardship, which I talk about in this blog post.
While other countries have found a way to control their community spread of COVID-19 while waiting for the vaccine program to be implemented, the United States has totally failed at this. An epicurve is a diagram of the timing of an outbreak, and in other countries, this curve has been flattened. But in the United […]
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 […]
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.
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.
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!