Overview
Key facts
Survival/time-to-event analysis is appropriate when the outcome of interest is an event and that event has not occurred for everyone in the dataset. The outcome can be something negative (e.g. death, recurrence of a tumour) or something positive (e.g. recovery, task completion).
The simplest analysis is the log-rank test that assesses differences according to a single factor. Cox proportional hazards regression is appropriate to investigate the rate at which the event occurs according to several potential predictors. Both will be covered in this course.
University College London (UCL) offers the Introduction to Survival or Time-to-Event Data Analysis programme.
Programme Structure
Courses include:
- Use of Kaplan-Meier plots
- Life tables
- Cox regression analyses
- Hazard ratios
- How to set up the data for analysis
- Including interaction terms in the models
- Assessing model outliers
- Interpretation of SPSS output
Key information
Duration
- Full-time
- 1 days
Start dates & application deadlines
- StartingApply anytime.
Language
Delivered
Disciplines
Data Analytics View 36 other Short Courses in Data Analytics in United KingdomAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Student insurance
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Other requirements
General requirements
The course is for non statisticians and is open to anyone who wants to learn about the basics of survival/time-to-event analysis.
Knowledge of the very basics of statistics (such as means, standard deviation, confidence intervals, etc.) is beneficial.
Tuition Fee
-
International
150 GBP/fullTuition FeeBased on the tuition of 150 GBP for the full programme during 1 days. -
National
150 GBP/fullTuition FeeBased on the tuition of 150 GBP for the full programme during 1 days.
Living costs for London
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.