Course Description:
Survival analysis is used when our data is about the time taken for some event to occur, for example the time from surgery until death. This course covers the descriptive analysis of such data as well as the regression methods used to adjust for confounders.
This course will use STATA software and include pre-recorded lectures and a live practical with tutor facilitation. You should watch the pre-recorded lectures in advance of the practical session.
Learning outcomes
Planning to use both SPSS and Stata?
There are two versions of this online course, each will use a different statistical package for Survival Analysis. The opening lectures for the courses are streamed according to the software you will use. The practicals will take place on different dates and focus on the use of a particular software package.
If you are interested to learn both approaches then you may sign up for both sessions, but you will only be able to receive 1 training point.
SPSS course: 13 May
STATA course: 6 May
Pre requisite:This course covers advanced level statistical methods and advanced level usage of statistical software. There will be no opportunity to cover the basics of statistics or STATA during the workshop. If you are not familiar with Stata you must attend the Introduction to Statistics with STATA (online) course in advance of booking/attending.
Participants who have not attended this introductory course nor have prior working knowledge of the software should not book on this course as until they have covered the basic functions. There is no time during the session to cover introductory questions.
This session has a pre-task: watch the tutor pre-recorded lectures, available on Moodle after booking. Allow 75 minutes for completion.
Process:
Blended delivery with both synchronous and asynchronous delivery. The self-study (75 minutes) must be completed in advanced of joining the live synchronous webinar.
Participants will need their own laptop/PC with Stata software downloaded and an internet connection. The course will be delivered via Moodle and Microsoft Teams. The live synchronous delivery will require participants to complete a series of exercises using Stata.
Equipment
Stata downloaded onto your laptop/PC. Speakers and ideally microphone during the live synchronous session. Participants will need to be able to access Stata and also Teams at the same time during the session.
Course Accessibility
The following table shows a summary of what is needed to participate in the course.
If you feel you will experience any difficulties participating, please let us know via the ‘special requirements’ tab, providing as much information as possible. The special requirements tab can be completed when you book your place. Alternatively, you can contact us directly at ra-training@nottingham.ac.uk.
Access and/or complete self-study/ pre-course tasks prior to main session(s) on Moodle | ![]() |
Access Moodle for self-study | ![]() |
Access MS Teams for webinar | ![]() |
Attend the webinar at the specified date and time | ![]() |
Participate in several online platforms at one time | ![]() |
Use MS Teams chat box function during webinar | ![]() |
Engage with online materials | ![]() |
Watch and listen to the course tutor(s) and/or other attendees | ![]() |
Follow presentation slides during the course | ![]() |
Take part in group activities/ discussions | ![]() |
Booking Conditions
Our webinars/ online courses are very popular, especially in the current period and we are experiencing large volumes of people on our waiting lists.
Please do let us know if you would like to cancel your place on this course so we can offer your place to another delegate.
Please note, attendances for webinars/ online courses will still be recorded and corresponding training points, when shown as available, will be awarded.
Pre-requisite Tasks
To access the online training course resources, pre-task (pre-recorded lectures) and live streamed practical session timings on 14 May, and full instructions on how to join the course visit Moodle here:
https://moodle.nottingham.ac.uk/course/view.php?id=79279
Location | Start Date | All Dates | Times | Places Available | Book |
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