Maximum Likelihood Estimation for Generalised Linear Models (Glasgow, Scotland, UK)

Instructor(s):

  • Niccole Pamphilis, University of Glasgow

This course offers participants an introduction to a range of statistical models beyond those available using standard linear regression analysis. The course will teach students about logit and probit models for dependent variables with binary outcomes as well as ordered models and multinomial models for categorical dependent variables. Participants will learn about the assumptions of each model and how to properly test if the model assumptions hold in addition to expressing model results graphically. Background knowledge of OLS Regression and basic training and understanding of SPSS, R, or Stata are expected.

Fee: Members = $1500; Non-members = $2800

Tags: maximum likelihood, generalized linear models

Course Sections

Section 1

Location: University of Glasgow -- Glasgow, Scotland

Date(s): August 21 - August 23

Time: 9:00 AM - 5:00 PM

Instructor(s):

  • Niccole Pamphilis, University of Glasgow

Syllabus: