Regressions with R: an Overview

University College London

Short course

In London

£ 250 VAT inc.

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Description

  • Type

    Short course

  • Level

    Intermediate

  • Location

    London

  • Class hours

    8h

  • Duration

    2 Days

  • Start date

    Different dates available

This two-day short course will give you an overview of a variety of regression types and models using the R software, via libraries including lm, glm, and gamlss.
You'll learn about ways of performing model fitting, model diagnostics, predictions and relevant graphical displays.
The regression types you'll cover include:
linear regression
logistic regression
ordinal logistic regression
Poisson regression
negative binomial regression
survival/cox-proportional hazards
multilevel linear regression

Facilities

Location

Start date

London
See map
Gower Street, WC1E 6BT

Start date

Different dates availableEnrolment now open

About this course

You can request a certificate of attendance for all of our courses once you've completed it.

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This centre's achievements

2018

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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

  • Regressions with R
  • Regressions
  • Regression types
  • R software
  • Gamlss
  • Performing model fitting
  • Graphical displays
  • Ogistic regression
  • Poisson regression
  • Cox-proportional hazards

Course programme

Teaching and assessment

Teaching is from 10am to 3pm on both days, with an hour's lunch break.

The course will take place in a cluster room, with access to a computer and R.

You're welcome to bring your own laptop if preferred (access to the UCL guest network will also be provided), but make sure R is installed on your laptop before attending (installation guidelines will be made available two weeks before the course).

Learning outcomes

By the end of this course you should be able to:

  • understand how to use R to fit regression models
  • fully understand the use of the lm, glm, clm and survival R functions
  • correctly interpret the given output from the illustrated regressions
  • investigate how well a given model fits the data

See related categories

Regressions with R: an Overview

£ 250 VAT inc.

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