A practical introduction to generalised linear models for researchers analysing biological, experimental, or other research data with non-continuous response variables.

This course teaches how to construct, interpret, and assess generalised linear models using R or Python. The focus is on practical application and interpretation rather than mathematical derivation.

Topics include logistic regression, proportional response models, Poisson regression, negative binomial regression, significance testing, goodness-of-fit, and model diagnostics.

By the end of the course, participants should be able to:

• choose appropriate models for binary, proportional, and count response data
• construct logistic, Poisson, and negative binomial models in R or Python
• plot observed data and fitted model predictions
• assess model significance, goodness-of-fit, and assumptions
• interpret generalised linear model outputs confidently

Teaching is primarily hands-on, with short explanations introducing the statistical ideas needed to apply the methods appropriately.

  Book this event or register interest
  This event is not yet open for booking. Please choose the section that applies to you.

  University of Cambridge member
  Register interest
  External participant
  Register interest

== Intended audience ==

This course is suitable for:

• researchers and students who analyse research data
• participants who encounter non-continuous response variables, including binary, proportional, or count data
• people who already have experience with standard statistical models and want to extend this to generalised linear models
• participants with a working knowledge of either R or Python

== Course fees ==

All fees are per full training day.

{| class="wikitable"
|-
! Category
! Fee
|-
| Industry full charge
| £130.00
|-
| Academic / Government / charity concessionary
| £65.00
|-
| Cambridge University staff members / postdocs / visitors
| £65.00
|-
| Cambridge University registered students
| Free
|-
| Cambridge University registered students non-attendance
| £22.00
|-
| Special events
| Per event
|}

Payment options will be provided in booking confirmation emails sent after registration.

More details…

== General information ==

More detailed information is available on our dedicated cancellation and non-attendance policy, waiting list, accessibility, privacy policies and terms & conditions pages.

Guidance on visiting Cambridge and finding accommodation is available here.