Create simple and complex Markov models within the modeling framework

• Create standard Markov models with the Visual Model Editor, then expand with advanced features.
• Add time-dependent progression through survival curves and hazard functions.
• Define progression based on time-in-state with tunnels.
• Easily convert a Markov Cohort model to a Patient Simulation using the same model structure.
• And much more…

Model Complex Diseases with Patient Simulation

• Expand model capabilities by running simulated patients through your model.
• Add patient characteristics for heterogeneity.
• Add patient history to impact future events, costs and utilities.
• All based on the original Markov model structure.
• Use patient-level and cohort-level reporting to validate pathways and examine disease progression.

Model disease progression with survival curves with Partitioned Survival Analysis

• Build Partitioned Survival Models mapping disease progression to clinical Kaplan-Meier tables, fitted distributions or hazard functions.
• Use all the familiar analyses and healthcare reporting available for Markov models.

Discrete Event Simulation

Build models based on time-to-event sampling for competing events and risks.

Next: Built-in Analysis & Reporting Tools