Tag Archives: big data analytics

Data for Meta-analysis Need to be Prepared a Certain Way – Here’s How

This is the forrest plot resulting from analysis with open source statistical software R using package rmeta.

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!

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

The Bureau of Primary Healthcare is a United States federal agency that ensures safety net services to poor individuals

The United States (US) Bureau of Primary Healthcare (BPHC) is the federal agency that funds our safety net infrastructure serving patients who can’t get on Medicare or Medicaid. I explain how all that works, and the relationship of BPHC to the rest of the public health infrastructure.

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

The American Public Health Association is the professional society for the occupation of public health rather than healthcare.

Curious about the American Public Health Association (APHA) – what it does, and where it fits into the bigger picture of public health organizations? I delve into these topics, and explain how you can get involved.

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

Clinical data and research data are governed by different regulations. Therefore, you cannot mix them together, but you can transfer them around from project to project.

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.

Alternative to the PDSA Model for QA/QI in Healthcare? Old-fashioned Epidemiology and Biostatistics! Part 4 of 5

The Plan Do Study Act model does not take into account all functions of a healthcare quality improvement and assurance department

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.

Wondering if You Will Like Healthcare Research? Try This: Data Collection

Learn data science skills online in order to develop data collection materials

If you are not sure if you will like doing research in healthcare, instead of starting with big data, start with data collection and get to know the data as it comes into the dataset.

Healthcare Data Science Newbie Do-it-Yourself Starter Kit

The tools for healthcare data science include both descriptive and inferential statistics

Monika posts her “data science newbie do-it-yourself starter kit”, with links to cheap or free learning resources for the data science newbie who wants to get started in healthcare analytics.

This Course in Explainable AI will Get you Ready for the Future!

What do the data say when a machine learning algorithm is applied, and which features are important?

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 […]

Sort Order, Formats, and Operators: A Tour of The SAS Documentation Page

SAS software sorting a to z or using arithmetic operators

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!

Announcing the Publication of my New SAS Book on Data Warehousing

Learn how to do data warehousing in SAS. You can purchase this book and use the code in it to help you.

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!