Bachelor mathematics

Course objectives

The student:

  1. Has knowledge about censoring and truncation, can distinguish different types of (left-, right-, interval-) censoring and is aware of its implications
  2. Can write down the likelihood for different types of censored and truncated data, and can maximize it for given parametric models
  3. 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
  4. 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
  5. Is aware of issues with time-dependent covariates and can formulate and understand a time-dependent Cox model
  6. 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)
  7. Is able to fit and interpret frailty models
  8. Has some knowledge about estimating and interpreting results from marginal structural models
  9. Is able to analyze standard survival data, interpret the results from the analysis and explain their findings to substantive researchers


Marta Fiocco, Hein Putter