3-42 Application of Markov Chain Monte-Carlo to describe the radiation effect on bacterial strains at a given dose

We focused primarily on the classic setting where the response y is continuous and typically assumed to have a normal distribution, at least approximately. However, in many radiation data analysis examples, the data to be modeled are clearly non-normal. For instance, we may record a binary response (e:g: survived or died, etc). A zero-one variable is clearly non-normal.