Combining Survival/Hazard Estimates

Combine Survival Estimates with Compound Curves
Coming in July 2025

Survival analysis may identify multiple estimates based on clinical data.
Combine those estimates to drive disease progression within your models.

There are two types of Compound Curves that can be used independently or in combinations.

Transitions

  • Transition from one estimate to another to form a single survival or hazard curve.
  • Example: use clinical Kaplan-Meier survival tables for the observed period then transition to a distribution fitted to that data for the extrapolation period.

Blends

  • Blend multiple estimates over the same time period.
  • Example: use different survival/hazard estimates as low and high bounds for sensitivity analysis.

This is an example of a Compound Curve that transitions from a Kaplan-Meier survival curve to a fitted distribution.

A simple expression in the model referencing the Compound Curve results in a combined survival curve.

Below are a number of examples of transitions, blends and combinations of both.