Date(s) - 15/10/2019
2:00 pm - 5:00 pm
NIHR Biomedical Research Centre at Guy’s and St Thomas’ NHS Foundation Trust and King’s College London
16th Floor, Tower Wing, Guy’s Hospital, Great Maze Pond
- Speaker: Dr Yanzhong Wang
- Fully Booked
This is an introductory course for anyone interested in correlation and linear regression. The course will be useful to researchers who need to use correlation and linear regression analysis for data analysis, and for readers of the medical literature who need a better understanding of its meaning. Attendees will also get insights into the working principles underlying all regression techniques. The use of specific statistical packages will not be covered.
Attendees should attend the introductory sessions on statistics, or have an equivalent level of knowledge, before attending this course.
Correlation is a frequently used and reported measure of the linear relationship between two numerical variables. For example, is body weight associated with plasma volume? Apart from estimating the best-fitting straight line to describe an association between two variables, correlation also describes the strength of the linear association between these variables.
Linear regression is used to estimate the best-fitting straight line to describe the association between a numerical exposure and a numerical outcome. Simple linear regression tests the effect of one variable on an outcome, while multiple linear regression models the effect of more than one exposure on an outcome.
The course will cover the following elements:
- Explain the concept of association between two variables
- Use scatter diagrams to sketch the main forms of relationship: independence, positive/ negative linear association, non-linear association
- Describe and interpret simple linear regression
- Explain the term extrapolation and describe why it can give misleading predictions
- Describe the purpose of correlation coefficients
- Compare ‘Pearson’ and ‘Spearman rank’ correlation, stating the situations in which they might be used
- Compare the type of information given by correlation with that given by regression
- Outline a graphical method of illustrating agreement between two continuous variables
By the end of the session students should be able to:
- Display the relationship between two quantitative variables in a scatter plot;
- Measure the degree of association using the Pearson’s or Spearman’s correlation coefficient;
- Describe the methods used to obtain regression lines;
- Obtain regression lines describing the relationship(s) between quantitative variables;
- Obtain confidence intervals for regression coefficients;
- Test the null hypothesis of no relationship;
- Explain when it is appropriate to use correlation and linear regression.
Who can attend?
The courses are free for health care professionals employed by organisations associated with the National Institute of Health Research Biomedical Research Centre at Guy’s & St Thomas’ and King’s College London:
- King’s College London
- Guy’s and St Thomas’ NHS Foundation Trust
- South London and the Maudsley NHS Foundation Trust
- King’s College Hospital NHS Foundation Trust
- St George’s University of London
- St George’s Hospitals NHS Foundation Trust
Places are booked on a first come, first served basis. If the module is full, your name will be placed on a waiting list and if a place becomes available you will contacted at the latest 72 hours beforehand.
Non Attendance Policy
The courses in this programme are very popular and are often oversubscribed. If you are unable to attend a course you are booked on to you must notify us 72 hours in advance so we can offer the place to someone else.
If you do not attend on the day and are unable to provide a satisfactory explanation you may be removed from future course bookings.
For further information please contact the NIHR Guy’s and St Thomas’ BRC Research Training Programme at BRCTraining@gstt.nhs.uk.