Tag Archives: patient feedback

Descriptive Analysis of Black Friday Death Count Database: Creative Classification

The Black Friday Death Count database has a list of news reports of deaths or injuries on Black Friday.

Descriptive analysis of Black Friday Death Count Database provides an example of how creative classification can make a quick and easy data science portfolio project!

Classification Crosswalks: Strategies in Data Transformation

What if you have too many categories in a categorical variable? Your cardinality is too high for a chi-square analysis.

Classification crosswalks are easy to make, and can help you reduce cardinality in categorical variables, making for insightful data science portfolio projects with only descriptive statistics. Read my blog post for guidance!

Data Curation Solution to Confusing Options in R Package UpSetR

It is possible to use data curation to solve the problem of a confusion vector containing options.

Data curation solution that I posted recently with my blog post showing how to do upset plots in R using the UpSetR package was itself kind of a masterpiece. Therefore, I thought I’d dedicate this blog post to explaining how and why I did it.

The Stages of the PDSA Model: What do they Really Mean? Part 2 of 5

Implementing the Plan Do Study Act model is very cost- and labor-intensive but it is possible to get a return on investment

What are the stages of the PDSA model, and how do they relate to the functions of a QA/QI department in healthcare? The answers are not straightforward. I examine these issues in this blog post.

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!

“Understanding Research Forms, Surveys and Instruments” is a 6-course online tutorial series aimed at graduate students and new researchers so they learn how to collect data properly, and do not make mistakes that can cost them their degree or job promotion!

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!

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