Prerequisites
Bachelor mathematics
Course objectives
The student:
- Has knowledge about censoring and truncation, can distinguish different types of (left-, right-, interval-) censoring and is aware of its implications
- Can write down the likelihood for different types of censored and truncated data, and can maximize it for given parametric models
- Can estimate the Kaplan-Meier and Nelson-Aalen and its variances under censoring and/or left truncation, is aware of its assumptions and can argue its validity
- Can formulate a Cox model, is aware of and can test its assumptions, can interpret a hazard ratio, and can derive model-based survival curves
- Is aware of issues with time-dependent covariates and can formulate and understand a time-dependent Cox model
- Is aware of competing risks and multi-state models, has knowledge about cause-specific and subdistribution hazards and cumulative incidence functions, can calculate cumulative incidence estimators, and can distinguish between different regression models for competing risks (Cox models for cause-specific hazards vs Fine-Gray models)
- Is able to fit and interpret frailty models
- Has some knowledge about estimating and interpreting results from marginal structural models
- Is able to analyze standard survival data, interpret the results from the analysis and explain their findings to substantive researchers
Lecturers
Marta Fiocco, Hein Putter
- Docent: Marta Fiocco
- Docent: Tijn Jacobs
- Docent: Hein Putter
- Docent: Marta Spreafico