Poisson Regression
Course
In London
Description
-
Type
Course
-
Level
Intermediate
-
Location
London
-
Class hours
5h
-
Duration
1 Day
-
Start date
Different dates available
This one-day course will introduce you to regression methods for analysing count or rate data.
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.
This course is delivered by UCL's Centre for Applied Statistics Courses (CASC) - part of the UCL Great Ormond Street Institute of Child Health (ICH).
Facilities
Location
Start date
Start date
About this course
By the end of the course you should be able to:
understand what poisson regression is and when to use it
formulate 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
You can request a certificate of attendance for this course once you've completed it.
Reviews
This centre's achievements
All courses are up to date
The average rating is higher than 3.7
More than 50 reviews in the last 12 months
This centre has featured on Emagister for 14 years
Subjects
- Poisson regression
- Regression
- Rate data
- Dataset
- Data Issues
- Database Theory
- Database Design
- Analysing count
- Analysing
- Predictions
Course programme
- When dealing with a count or rate outcome variable, basic linear regression is inappropriate as it will lead to invalid predictions.
- Poisson regression is an extension of the ideas used in linear regression that allows counts or rates to be validly modelled against chosen predictor variables.
- You'll explore how poisson regression models are formulated, interpreted and checked using worked examples.
- You'll learn how poisson regression can be extended when the strict assumptions are not met, by using quasi poisson and negative binomial models.
- This course doesn't involve hands-on use of a statistical package. You'll be given results in the notes, which should be comprehensible regardless of which statistical package you are used to.
Poisson Regression