Learning about logistic regression, Cox regression, survival analysis and more
This module is designed for health care professionals or graduate students who already have some research experience and an understanding of basic statistical principles, and who wish to develop their statistical expertise. Teaching is interactive and will emphasise the practical application of statistical methods to real-life problems, rather than statistical theory. Students will be able to explore and analyse data using a variety statistical packages.
The last date for receipt of complete applications is 5pm Friday 25th February 2022. Regrettably, late applications cannot be accepted.
This module will cover:
- Hypothesis tests
- Association between variables
- Linear regression
- Multiple linear regression (including relation to ANOVA*)
- Multiple logistic regression
- Uses of multiple logistic regression
- Building models
- Survival analysis
- Non parametric methods
- Life tables and their application to follow-up studies
- The Kaplan Meier product-limit estimate of survival and the log rank test
- Parametric methods
- The hazard function
- Use of regression and proportional hazards models to assess the association of factors other than time with survival
- Cox regression model
*The terminology of ANOVA has been widely superseded by the terminology of multiple linear regression. The course will show briefly the equivalence of the two approaches for the benefit of students accustomed to ANOVA.
This module assumes the students have at least some familiarity with the following:
- Distinction between continuous and categorical variables
- Interpretation of p values and statistical significance
- Interpretation of confidence intervals
- Concept of the Normal distribution
If you do not have these pre-requisites, the online module Introduction to Statistics for Health Care Research is recommended.
For a detailed comparison of these two courses please click here.
Comments from previous participants:
"Very good presentation of a lot of information, with relevant examples, very good practical sessions and helpful lecturers"