Tag Archives: teach data science

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

The Centers for Medicare and Medicaid Services are known as CMS, and manage the public insurance system at the federal level in the United States.

You might wonder what CMS – the Centers for Medicare and Medicaid Services – actually does. This blog post provides an overview of CMS’s role and activity in the US healthcare system.

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 CDC?

The Centers for Disease Control and Prevention in the United States provides public health guidance and policy to the population

The United States (US) Center for Disease Control and Prevention (CDC) was in the spotlight during the COVID-19 pandemic. But as I describe in this blog post, it is only as good as its director.

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.

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.

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.

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

Why COVID-19 is Overrunning the US in Late 2020: Overlapping Epicurves

Data in simulated epicurves show frequencies and explain outbreak timing

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 […]

Two Takeaways from Danny Ma’s Machine Learning Panel: Understanding the Problem, and Understanding your Data

Roller coaster like an ETL pipeline that does automation

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.

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!