Regression Analysis: an Introduction

University College London

Course

In London

£ 275 VAT inc.

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Description

  • Type

    Course

  • Level

    Intermediate

  • Location

    London

  • Class hours

    10h

  • Duration

    2 Days

  • Start date

    Different dates available

This introductory course gives you an overview of regression types and details the application of multiple linear regression.
Day one 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.
A second, optional day allows 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 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

London
See map
Gower Street, WC1E 6BT

Start date

Different dates availableEnrolment now open

About this course

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

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.

You can request a certificate of attendance for this course 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

  • Regression
  • Analysis
  • Regression analysis
  • Regression types
  • Linear Regression
  • SPSS
  • SPSS output
  • Quantitative researchers
  • Researchers
  • Statistical packages

Course programme

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 day two, you will have access to a computer with SPSS and see how the theory taught on the first day can be applied.

See related categories

Regression Analysis: an Introduction

£ 275 VAT inc.

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