Survival analysis
Time-to-event data and why it cannot be analysed as a simple outcome.
Slides · Dataset
About 40 minutes to complete
Enrol to open the slides and download the data.
What this module covers
time-to-event data and why it cannot be analysed as a simple outcome; censoring, explained with a diagram; structuring the dataset - the time variable and the status variable; Kaplan-Meier estimation and reading a survival curve; median survival time; the log-rank test for comparing groups; Cox proportional hazards regression; hazard ratios and how they differ from odds ratios; the proportional hazards assumption and how to check it; APA and journal reporting including the survival plot.
By the end of it
- Time-to-event data and why it cannot be analysed as a simple outcome
- Censoring, explained with a diagram
- Structuring the dataset - the time variable and the status variable
- Kaplan-Meier estimation and reading a survival curve
- Median survival time
- The log-rank test for comparing groups
- Cox proportional hazards regression
- Hazard ratios and how they differ from odds ratios
- The proportional hazards assumption and how to check it
- APA and journal reporting including the survival plot
The dataset
Time to treatment default — Sigma teaching dataset
A teaching dataset of 400 cases, generated from a fixed seed so every figure in the module reproduces exactly.
- CodebookIncluded
- Dataset (CSV)Included
- Dataset (CSV)Included
- SPSS syntaxIncluded