Survival analysis

These videos introduce survival analysis – a family of statistical procedures where the outcome variable of interest is time until an event occurs. Survival analysis is a powerful analytical approach that is often employed in medical applications where researchers are interested in modelling the effects of different treatments or conditions upon patient survival time.

Introducing survival analysis

This video looks at the key concepts that underpin survival analysis such as time-to-event data, censored cases and the different survival analysis procedures available in IBM SPSS Statistics.

The Kaplan Meier procedure

This video looks at the non-parametric Kaplan Meier procedure including tests of equality of survival distributions and the difference between survival and hazard functions.

Introduction to Cox regression

This video introduces the Cox Regression method and explains the proportional hazards model. Shows how to interpret the output from Cox Regression using a simple model with a single predictor.

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