Chapter 28 of 487 min read
Chapter 11.2 — Logistic, Poisson, and Negative Binomial Regression
Learning Objectives Fit and interpret logistic regression for binary outcomes Fit and interpret Poisson and negative binomial regression for count outcomes Understand odds ratios and rate ratios as effect measures…
Sign in to read this
“Chapter 11.2 — Logistic, Poisson, and Negative Binomial Regression” is for subscribers. Start with a free account — it takes a name and an email — then subscribe for $1 a month to open it.
- Python and R courses free in full
- First two chapters of every other course