Using R Coding and Then ChatGPT to Figure Out an Outbreak

Ultimately, you’re the human with the lived experience, and GPTs are tools. Use them (your experience and the tools) wisely.

A future epidemiologist? Not quite… (Image via DALL-E artificial intelligence from OpenAI.)

In my last post, I wrote about investigating an outbreak of food borne disease, and how the p-value for the statistical analysis I did while doing so can be changed. The p-value was initially not significant, but increasing the sample size made it significant without changing the measure of association. It’s a form of p-hacking if you’re a little too obsessed with p-values.

P-Hacking for Beginners

For this post, I will use a sample of 1,000 fake people who all ate at a fictional big event and became sick. I will then show you how we can determine the most likely food source of the outbreak. And I will finish with a discussion of the statistical analysis I did using ChatGPT’s Advanced Data Analysis tool.

I will link to the data and code at the end of the post.

First, Look At Your Data