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Model Disease Progression with Markov Models

  • Easily build Markov models in TreeAge with a visual framework
  • Add health states and patient pathways to represent events over time
  • Calculations and reporting built-in with no coding required
PSA with TreeAge

Compare treatments via Cost-Effectiveness Analysis

  • Model treatments in TreeAge with a visual framework
  • Compare different Strategies using Cost-Effectiveness Analysis (CEA)
  • CEA shows which strategy provides the best health outcomes at a reasonable cost

Examine Parameter Uncertainty with Sensitivity Analysis

  • Analyze how changes to model parameters can change model results and conclusions
  • Generate one-way sensitivity analysis and Tornado diagrams using build-in tools

Assess Overall Parameter Uncertainty with PSA

  • Probabilistic Sensitivity Analysis studies the impact of overall parameter uncertainty
  • This can help assess overall confidence in the model conclusion
PSA with TreeAge

Patient-Level Simulation

  • Run Patient Simulation on your Markov model to simulate how individual patients may experience disease progression and treatments differently.
  • Each simulated patient runs through the model and experiences an individual series of events.

Calibrate Your Model to Generate More Accurate Results

  • Refine your model inputs automatically with TreeAge Pro’s calibration tool
  • Adjust inputs until your model results better match observed clinical data

Run Different Patient Groups Through Your Model

  • Keep patient pathways consistent across scenarios
  • Switch model data to match specific populations
  • Use for country-specific data or patient risk groups

You can view all these videos on our Wistia Channel: Solved by TreeAge