Introduction to Linear and Logistic Regression Models
Coronavirus (COVID-19) information
The Short Course Programme in Population Health Sciences has been temporarily suspended.
Bookings for 2020-21 courses will open later in the autumn.
Information on this page relates to the last run of the course and is for reference only.
Sign up to our mailing list to be notified when bookings reopen.
We may need to make responsive changes to our future programme to follow the latest Public Health, Government and University guidance on coronavirus (COVID-19).
Please be aware that all information about short courses planned for 2021 is provisional and subject to change.
11 - 15 May 2020
5 days (approximately 14 hours of lectures and 15 hours of practicals).
Registration will start at 9am on the first day, the courses will finish by 4pm on the final day.
To provide an understanding of the statistical principles behind, and the practical application of, univariable and multivariable linear and logistic regression in medical, epidemiological and health services research.
By the end of the course, students will:
- have a thorough conceptual understanding of linear and logistic regression;
- appreciate the common threads running through these methods, including stratified analysis, different options for handling explanatory variables, and concepts such as confounding and interaction;
- have a working knowledge of the Stata commands to run these models, and a thorough understanding of the output generated from such a package;
- know the basis on which analytical strategy and model choice is made, and how the results should be interpreted.
Who the course is intended for
People analysing data from medical, epidemiological, and health services research, who have used simple methods such as t-tests and chi-square tests, and who now wish to use multivariable methods to control confounding, accommodate interaction, and increase statistical power.
- Revision of basic methods in a statistical modelling framework
- Terminology in regression modelling
- Indicator variables to incorporate categorical explanatory variables
- Univariable and multivariable regression
- Common features of linear and logistic regression models
- Interpretation of model coefficients as differences in means or odds ratios
- Adjustment for confounding and exploring effect modification (interaction) in multivariable regression
- Comparing models with Wald tests and likelihood ratio tests
- Model assumptions
- Analytical strategies
Please note: Practical sessions of this course will be held in a computer lab, so you do not need to bring a laptop. Stata v15 will be used during the course.
Course handouts will cover all material.
All participants will be expected to have a copy of 'Essential Medical Statistics' with them during the course:
- Kirkwood BR, Sterne JAC. Essential Medical Statistics, 2nd ed. Oxford: Blackwell Science, 2003.
We will let you know how to buy a copy at a discounted rate when we confirm your place on the course.
More information on course fees, fee waivers and reduced prices.
Bristol Medical School
39 Whatley Road
We provide morning and afternoon refreshment breaks, including tea and coffee, biscuits and fresh fruit.
If you have specific dietary needs we ask that you let us know in advance.
Lunch is not included. There are a range of local cafes and supermarkets nearby for students to purchase lunch.
Information about accommodation in the area.
Related short courses
For further information please email firstname.lastname@example.org.