This one-day course focuses on the fundamental concepts of survival analysis of medical research data. A common feature of survival data is its censored data which makes standard statistical techniques inadequate to use to analyse such data. This course gives you a practical use of Life Tables, Kaplan-Meier and Cox Regression models and shows how to interpret the statistical outputs. You will learn techniques for analysing survival time between groups and examine the effect of prognostic factors on survival time.
To ensure that high quality and responsive learning support is given to each participant on our public courses, we only take a small class with a maximum of 9 participants. Therefore, it is important you register your interest early to secure a place.
This course assumes little or no working knowledge of basic SPSS. You are encouraged to come along with thoughts or data from a research involving data measuring time to the occurrence of a particular event.
The teaching method is mainly hands-on. It is supported by presentation, demonstration, discussions, questions and answers.
The tutor will screen share to examine each participant’s project to provide suggestions, corrections and efficiency tips.
Each participant receives an instructional workbook.
Each participant receives a certificate of completion and ongoing after training support via phone, email and screen sharing.
By the end of this course, you will be able to:
We only need 4 interested people to put up an Advance course, so please submit your interest to make it happen.
