Survival, or time-to-event, analysis has been widely used in biomedical research for decades but is also increasingly relevant to analysts working in fields like marketing, social sciences and engineering. Data follow people, organisations or other subjects over time and capture the times at which an event of interest happens. A cancer researcher may be watching for recurrence of a tumour, while in marketing, the event of interest could be a customer calling in to cancel their contract.
Stata has an established and trusted capability to manipulate such data and carry out a wide range of analyses. This half-day online course, delivered by experienced medical statistician Robert Grant, will introduce newcomers to the tools that Stata offers.
The course runs from 13.00 - 17.00 (UK Time)
Our web based training course FAQ's can be viewed here.
This one-day course introduces Stata’s capabilities for manipulating survival / time-to-event data, obtaining descriptive and inferential summaries, comparing groups, and constructing regression models for prediction and causal inference.
The course will cover the following topics:
- Why survival / time-to-event data requires specific analyses
- Defining and manipulating a survival / time-to-event dataset in Stata
- Obtaining rates, survival and hazard curves from Stata
- Testing for differences between groups in Stata
- Adjusting for confounding variables in tests of hazard difference by stratification, using Stata
- The role of regression in survival analysis, the difference between parametric and semi-parametric (Cox) models, and the basics of how to fit them in Stata
14:00 - 14:30
Welcome; short talk on Topic 1
14:30 – 15:00
Topic 2: demonstration and computer exercise for attendees
15:00 - 15:30
Topic 3: demonstration and computer exercise for attendees
15:30 - 15:40
15:40 - 16:15
Topics 4 & 5: demonstration and computer exercise for attendees
16:15 - 16:45
Topic 6: demonstration and computer exercise for attendees
16:45 - 17:00
Summing up; remaining questions
Terms & Conditions
- Student registrations: Attendees must provide proof of full time student status at the time of booking to qualify for student registration rate (valid student ID card or authorised letter of enrolment).
- Additional discounts are available for multiple registrations.
- Cost includes course materials that will be posted to you prior to the start of the course.
- Delegates are provided with temporary licences for the software(s) used in the course and will be instructed to download and install the software prior to the start of the course.
- Payment of course fees required prior to the course start date.
- Registration closes 5-calendar days prior to the start of the course.
- 100% fee returned for cancellations made over 28-calendar days prior to start of the course.
- 50% fee returned for cancellations made 14-calendar days prior to the start of the course.
- No fee returned for cancellations made less than 14-calendar days prior to the start of the course.