Course overview
A focused overview of time-to-event and repeated-measure analyses, built around interpreting examples rather than mastering every model.
Learning outcomes
Recognize censoring and why repeated observations are not independent.
Read a Kaplan–Meier plot and interpret a supplied hazard ratio.
Identify when survival or repeated-measure methods need specialist input.
Curriculum
Follow-up, time origins and censoring.
Reading a Kaplan–Meier plot.
Cox regression and proportional-hazards assumptions.
Repeated measurements and within-person dependence.
Mixed and multilevel models: an introduction.
Worked example: select the appropriate analysis family.
Practical output
Compare two short scenarios, choose the appropriate analysis family and interpret one supplied plot or estimate.
Course information
Practice uses synthetic or appropriately authorized material. Course materials remain available for three months after completion. Contact us with questions; we respond within 72 hours. This response window is not a grading or manuscript-review deadline. Publication, authorship, and funding are not guaranteed.


