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Tue 5 Mar 2019
09:45 - 17:00

Venue: eLearning 1 - School of Clinical Medicine

Provided by: Bioinformatics


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CRUK: Introduction to Linear Modelling with R

Tue 5 Mar 2019

Description

The course will cover ANOVA, linear regression and some extensions. It will be a mixture of lectures and hands-on time using RStudio to analyse data.

This event is part of a series of training courses organized in collaboration with the Bioinformatics Core Facility at CRUK Cambridge Institute.

Please note that if you are not eligible for a University of Cambridge Raven account you will need to Book or register Interest by linking here.

Target audience
  • Graduate students, Postdocs and Staff members from the University of Cambridge, Affiliated Institutions and other external Institutions or individuals
  • Please be aware that these courses are only free for registered University of Cambridge students. All other participants will be charged a registration fee in some form. Registration fees and further details regarding the charging policy are available here.
  • Further details regarding eligibility criteria are available here
Prerequisites

This course assumes basic knowledge of statistics and use of R, which would be obtained from our Introductory Statistics Course and an Introduction to R for Solving Biological Problems run at the Genetics department (or equivalent).

Sessions

Number of sessions: 1

# Date Time Venue Trainers
1 Tue 5 Mar   09:45 - 17:00 09:45 - 17:00 eLearning 1 - School of Clinical Medicine map Dominique-Laurent Couturier,  Robert Nicholls,  Mark Fernandes
Topics covered

Bioinformatics

Objectives

After this course you should be able to:

  • Realise the connection between t-tests, ANOVA and linear regression
  • Fit a linear regression
  • Check if the assumptions of linear regression are met by the data and what to do if they are not
  • Know when linear regression is not appropriate and have an idea of which alternative method might be appropriate
  • Know when you need to seek help with analysis as the data structure is too complex for the methods taught
Aims

During this course you will learn about:

  • ANOVA
  • Simple and multiple regression
  • Introduction to more advanced topics, like Generalised Linear Models and Time Series.
Format

Presentations and practicals

Timetable

Day 1 Topics
09:45 - 10:15 Welcome and R-efresher
10:15 - 11:30 ANOVA
11:30 - 13:00 Simple regression model
13:00 - 14:00 Lunch (not provided)
14:00 - 15:15 Multiple regression
15:15-16:30 GLMs
16:30-17:15 Time series
17:15-17:30 Conclusion
  • Tea/Coffee breaks will be included throughout the day
Registration fees
  • Free for registered University of Cambridge students
  • £ 50/day for all University of Cambridge staff, including postdocs, temporary visitors (students and researchers) and participants from Affiliated Institutions. Please note that these charges are recovered by us at the Institutional level
  • It remains the participant's responsibility to acquire prior approval from the relevant group leader, line manager or budget holder to attend the course. It is requested that people booking only do so with the agreement of the relevant party as costs will be charged back to your Lab Head or Group Supervisor.
  • £ 50/day for all other academic participants from external Institutions and charitable organizations. These charges must be paid at registration
  • £ 100/day for all Industry participants. These charges must be paid at registration
  • Further details regarding the charging policy are available here
Duration

1

Frequency

once a year

Themes

Booking / availability