Calibrate Markov Models with Clinical Data
Auto-Calibrate Markov Models with Survival Tables
It can be difficult to build Markov models that accurately define disease progression.
TreeAge Pro can help by auto-calibrating your model based on clinical survival data.
Coming January 2026
Help us make calibration work for you!
We welcome your input as we develop the auto-calibration feature.
Click here if you are interested in providing feedback and/or testing the feature.
We will also preview this feature with webinars through the fall.
Clinical Source Data – KM Survival Tables
You may want to create a Markov model that matches to clinical Kaplan-Meier survival tables.
Calibrate Your Model
Use the source survival tables to calibrate your model.
Validate the Calibration
The Markov Plot presents disease progression in the model along with the original clinical data, so you can see how well they match.
