Overview
University College London (UCL) offers the Poisson Regression - an Introduction programme.
Key facts
You'll learn about:
- poisson regression - used to determine associations between a count/rate outcome and a number of predictor variables
- quasi poisson and negative binomial regressions - more flexible extensions of the poisson regression
You should have a basic understanding of statistical concepts such as p-values and confidence intervals before attending this course.
You can take this course either online or face to face.
Programme Structure
Courses include:
- Understand what poisson regression is and when to use it
- Rormulate and interpret poisson regression models for counts and/or rates
- Know the diagnostic statistics and assumptions that must be checked to ensure poisson models are valid
- Know when to consider quasipoisson and negative binomial models and how to interpret them
Key information
Duration
- Full-time
- 1 days
- Part-time
- 1 days
Start dates & application deadlines
Language
Delivered
Campus Location
- London, United Kingdom
Disciplines
History View 37 other Short Courses in History in United KingdomWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
You can request a certificate of attendance for this course once you've completed it. Include the following in your email:
- the name of the completed course for which you'd like a certificate
- how you'd like your name presented on the certificate (if the name/format differs from the details you gave during registration)
Tuition Fees
-
International Applies to you
Applies to youNon-residents150 GBP / full≈ 150 GBP / full -
Domestic Applies to you
Applies to youCitizens or residents150 GBP / full≈ 150 GBP / full
Living costs
London
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.