Week 5

Question 1

What am I meant to know this week?

Answer 1

 What are poisson and binary logistic regressions and when do we use them
 Understand how the GLM deals with count and binary outcomes using transformations and reliance on
different types of distributions (i.e. poisson, Bernoulli)
 Understand the different assumptions for poisson and binary logistic regressions
 How to run and interpret poisson and binary logistic regressions
 What are Incident Rate Ratios (IRRs) and how to interpret them
 What are Odds Ratios (ORs) and how to interpret them
 What are average marginal effects and how to interpret them