The notes are offered in two formats: HTML and PDF. I expect most of you will want to print the notes, in which case you can use the links below to access the PDF file for each chapter. If you are browsing use the table of contents to jump directly to each chapter and section in HTML format. For more details on these formats please see the discussion below.
Chapters in PDF Format 2. Linear Models for Continuous Data 3. Logit Models for Binary Data 4. Poisson Models for Count Data 4a*. Addendum on Overdispersed Count Data 5. Log-Linear Models for Contingency Tables 6. Multinomial Response Models 7. Survival Models 8*. Panel and Clustered Data A. Review of Likelihood Theory B. Generalized Linear Model Theory
The list above has two extensions to the original notes: an addendum on Over-Dispersed Count Data, which describes models with extra-Poisson variation and negative binomial regression, and a brief discussion of models for longitudinal and clustered data. Because of these additions we now skip Chapter 5.
No, there is no Chapter 1 ... yet. One day I will write an introduction to the course and that will be Chapter 1.
It turns out that making the lecture notes available on the web was a bit of a challenge because web browsers were designed to render text and graphs but not equations, which are often shown using bulky graphs or translated into text with less than ideal results.
The notes were written using LaTeX, which produces postscript or PDF, so the simplest solution was to post the generated PDF files, one per chapter. This format is best for printing the notes. Our PDF files are now smaller and look better on the screen that before. To view the files you will need Adobe Reader, unless you use a browser like Chrome that can render PDF natively.
Rodríguez, G. (2007). Lecture Notes on Generalized Linear Models. URL: http://data.princeton.edu/wws509/notes/