TreeAge Training Schedule
Attend one of our courses for hands-on modeling instruction
preceded by introductions to relevant health economic theory.
Americas/Europe
Build healthcare modeling proficiency quickly with our flagship healthcare modeling course.
- Learn how to build Decision Trees and Markov Models to accurately represent disease progression and treatment options.
- Compare strategies with Cost-Effectiveness Analysis.
- Assess the impact of uncertainty with Sensitivity Analysis.
This course is presented in two 4.5-hour online sessions presented via Zoom on September 8-9, 2026 from 10:00-14:30 EDT.
Class size is limited to 15 people.
Click here to register for this course.
We cover the following topics to get you started on your modeling projects right away.
- Introduction
- Understand how treatment options, patient pathways and outcomes are represented in a health economic model.
- Navigate the TreeAge Pro interface.
- Build Decision Trees
- Build a model that represents treatment strategies and patient pathways.
- Configure the model and add model inputs.
- Calculate average outcomes per patient to compare strategies.
- Perform Cost-Effectiveness Analysis
- Compare strategies based on expected costs and effectiveness.
- Identify the preferred strategy using Cost-Effectiveness Analysis (ICER/NMB).
- Build and Analyze Markov Models
- Build Markov models to represent disease progression over time.
- Add key health states and events to the model structure.
- Review how patients progress over time using Cohort Analysis.
- Build and analyze a Markov model in a hands-on exercise.
- Assess Uncertainty with Sensitivity Analysis
- Study the impact of individual parameter uncertainty on model results.
- Identify which parameters have the greatest impact using Tornado Diagrams.
- Assess Uncertainty with Probabilistic Sensitivity Analysis (PSA)
- Evaluate the combined impact of parameter uncertainty to assess confidence in your model results.
- Determine a Cost-Effective Price with Threshold Analysis
- Explore how changes in price affect cost-effectiveness and determine the maximum price that meets cost-effectiveness thresholds.
Click here to download the agenda.
Click here for setup and requirements related to TreeAge online training.
Learn advanced healthcare modeling techniques including patient simulation and discrete event simulation.
- Build Patient Simulation, Discrete Event Simulation and Partitioned Survival models.
- Examine survival analysis and how it can drive modeled disease progression.
- Validate your models with patient-level reporting and model calculation tracking.
- Share your models over the web or via Excel.
This course is presented in two 4.5-hour online sessions presented via Zoom on September 15-16, 2026 from 10:00-14:30 EDT.
Class size is limited to 10 people.
Click here to register for this course.
We cover the following topics to help you with your more complex modeling problems.
- Patient Simulation
- Model complex disease processes by simulating individual patients over time.
- Add heterogeneity and patient event history to drive disease progression.
- Validate your model with patient-level reporting and debugging tools.
- Strengthen your skills with a patient simulation exercise.
- Assign Clinical Data to Patients and Analyze Subgroups
- Use Bootstrapping to assign simulated patient characteristics from clinical data.
- Analyze results by subgroup to examine how treatment recommendations can vary by patient characteristics.
- Survival Analysis and Hazards
- Examine clinical survival data and understand how risk changes over time – survival analysis.
- Fit parametric distributions to survival data for extrapolation beyond observed data.
- Incorporate survival functions and hazards into models to represent disease progression and event risk.
- Partitioned Survival Models (PartSA)
- Define model disease progression directly from clinical survival curves – progression-free survival (PFS) and overall survival (OS).
- Calculate costs and QALYs based on changing health-state membership over time.
- Model Calibration
- Calibrate uncertain model inputs to reproduce observed clinical outcomes.
- Model Diagnosis & Screening
- Incorporate screening strategies to diagnose disease and initiate treatment earlier.
- Assess how screening cost, frequency, sensitivity, specificity, incidence, and prevalence affect cost-effectiveness.
- Share Models with Colleagues
- Share models with TreeAge Pro Web, so colleagues can examine the model, edit inputs and run analyses through a simple web interface.
- Export Markov models to Excel.
- Budget Impact Analysis
- Calculate annualized model costs and apply population estimates to assess budget impact.
Click here to download the agenda.
Click here for setup and requirements related to TreeAge online training.
Asia/Pacific
Build healthcare modeling proficiency quickly with a 2-day in-person training course. The course begins with basic model building and extends through complex modeling and analyses. Several exercises will consolidate your new skills to best prepare you for your modeling projects.
- Learn how to build Decision Trees and Markov Models to accurately represent disease progression and
treatment options. - Compare strategies with Cost-Effectiveness Analysis.
- Assess the impact of uncertainty with Sensitivity Analysis.
- Build Patient Simulation and Partitioned Survival models.
- Validate your models with patient-level reporting and model calculation tracking.
On 6 & 7 October at the University of Sydney, Sydney, Australia.
We cover the following topics.
- Introduction
- Decision Trees
- Cost-Effectiveness Analysis
- Markov Models
- Markov Modeling Exercise
- Survival Analysis
- Sensitivity Analysis
- Probabilistic Sensitivity Analysis (PSA)
- Patient Simulation
- Partitioned Survival Analysis (PartSA)
- Sharing Models via Web & Excel
- Price Threshold Analysis
- Budget Impact Analysis
Click here for a more detailed agenda.
Click here to register for the course.
Click here for setup and requirements related to TreeAge online training.
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