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Regression Analysis: an Introduction

  • 9:30am to 1pm
  • 2 or 4 days
  • 4 Oct 2021

Overview

This introductory course gives you an overview of regression types and details the application of multiple linear regression.

The main part of the course focuses on the theory behind regression analysis, in particular linear regression, and covers the formulation, interpretation and validation of linear regression models.

An optional extra two days allow delegates hands-on use of a statistical package (SPSS) to see how the theory can be applied to answer a specific research question.

This course takes place online, over two or four mornings (9:30am to 1pm). 

Due to the coronavirus outbreak, this course will be run online through a live video feed.

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).

Course content

Regression analysis is a very powerful technique that allows you to investigate the combined associations between one or more predictors and an outcome.

Some examples where this is helpful are:

  • where within a trial you may wish to adjust for factors that differ between treatment groups to gauge the true effect of treatment
  • in observational studies where you might want to take into account differences between the demographics or health behaviours of two or more subgroups
  • when considering the combined effects of different factors, which may facilitate understanding of variation in outcome

Regression is a vital tool for any quantitative researcher.

This course takes you from the basics of types of regression to the formulation of a multiple linear regression model. Interaction terms are introduced and explained.

On the optional extra days, you'll use SPSS to explore how the theory taught in the first part can be applied.

Who this course is for

This course is suitable for quantitative researchers or anyone who needs an understanding of introductory-level regressions analysis.

It will also be of interest to those using alternative statistical packages as the concepts discussed throughout the course are generally applicable.

Computers and software

To take part in the optional part of the course, you'll need to have SPSS installed and licensed on your computer. Where possible, we recommend using a recent version of SPSS (e.g. version 25) for maximum compatibility with the notes provided during the course.

Learning outcomes

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

  • understand the different types of regression and when these are applicable
  • visualise univariable linear regression model fits
  • understand the role of residuals
  • understand multiple linear regression models and how these can be constructed
  • decipher output from a software package

    Cost and concessions

    The fees are as follows:

    • External delegates (non UCL) - £150 (£275 with optional SPSS workshop)
    • UCL staff, students, alumni - £75* (£137.50 with optional SPSS workshop)
    • ICH/GOSH staff and students - free

    Certificates

    You can request a certificate of attendance for this course once you've completed it. Please send your request to ich.statscou@ucl.ac.uk

    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)

    Cancellations

    Read the cancellation policy for this course on the ICH website. Please send all cancellation requests directly to the course administrator.

    Find out about other statistics courses

    CASC's stats courses are suitable for anyone requiring an understanding of research methodology and statistical analyses. The courses allow non-statisticians to interpret published research and/or undertake their own research studies.

    Find out more about CASC's full range of statistics courses, and the continuing statistics training scheme (book six one-day courses and get a seventh free.)

    Course team

    Professor Angie Wade - Course Lead

    Professor Angie Wade - Course Lead

    Angie, Director of the Centre for Applied Statistics Courses (CASC), has been involved in the provision of statistical training to medically based non-statisticians for 25 years. She has a first class Bachelor’s degree in Mathematics and a Master's degree in Applied Statistics from UCL, and a PhD Statistics in the development of likelihood based models for the construction of covariate-related centiles. She joined GOS ICH in 1990, began the development of CASC in 2008 and was ICH’s first teaching professor. She's an active member of local teaching committees, previously chaired an MSc examination board and is currently a member of the UCL Academic Board Education Committee.

    Dr Dean Langan - Course Lead

    Dr Dean Langan - Course Lead

    Dean is a Senior Teaching Fellow in CASC. He has a Bachelor’s degree in Mathematics from University of Liverpool, a Master's degree in Medical Statistics from University of Leicester, and a PhD from University of York for his research in statistical methods for random-effects meta-analysis. He's worked as a statistician on a number of clinical trials related to stroke and myeloma at the Clinical Trials Research Unit in Leeds. His specialist areas include statistical methods for meta-analysis, R programming, clinical trial methodology and research design.

    Learner reviews

    "Excellent course - helpful and essential to have had the worked example on the second day. Puts all the information into context. Thank you."

    "Very useful and presented by a very good educator."

    "Got through a lot of material, all very relevant to what I'm doing - thanks!"

    Course information last modified: 29 Jun 2021, 15:19