1. Wrapping up the zombie analysis
Great! You’ve done some Bayesian data analysis and you’ve summarized the result.
2. The result of the zombie analysis
Here are the code and the output you produced in the last exercise. If we would take this result, write it up, and send it to the International Journal on Zombieology, it could go something like this:
3. The result in a journal
Given the data of two cured and 11 relapsed zombies, and using the Bayesian model described before, there is a 90% probability that our drug cures between 6% and 39% of treated zombies. Further, there is 93% probability that our drug cures zombies at a higher rate than current state of the art drugs. Sounds like science to me.
4. Bayesian models 1
Now, this was a very simple Bayesian model, there was just one parameter to estimate, the underlying proportion of success, but it uses the exact same principles and machinery as
5. Bayesian models 2
the Bayesian model Alan Turing used to crack the Enigma code. But what is that machinery? In the next chapter, we’re going open up the box
6. Next up: How does Bayes work?
and take a detailed look at how Bayesian inference actually works.