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Related Experiment Video

Updated: Jun 20, 2026

An R-Based Landscape Validation of a Competing Risk Model

An R-Based Landscape Validation of a Competing Risk Model

Published on: September 16, 2022

Comparing three software tools for implementing markov models for health economic evaluations.

Petra Menn¹, Rolf Holle

¹Helmholtz Zentrum München, Neuherberg, Germany. petra.menn@helmholtz-muenchen.de

Pharmacoeconomics

|September 18, 2009

Summary

TreeAge offers the easiest implementation for health economic models, while Arena provides flexibility. Double implementation ensures accurate model validation across software like Excel, TreeAge, and Arena.

Related Experiment Videos

Last Updated: Jun 20, 2026

An R-Based Landscape Validation of a Competing Risk Model

An R-Based Landscape Validation of a Competing Risk Model

Published on: September 16, 2022

Area of Science:

Health economics
Decision-analytic modeling
Software comparison

Background:

Health economic evaluations commonly utilize decision-analytic models.
A lack of comparative analysis exists regarding the ease of implementing these models in various software packages.
This study addresses the need for comparing software usability in health economic modeling.

Purpose of the Study:

To compare the ease of implementation of three Markov modeling software packages: TreeAge, Microsoft Excel, and Arena.
To assess the assets and drawbacks of each software for health economic evaluations.
To investigate technical model validation through cross-software result comparison.

Main Methods:

A Markov model for chronic obstructive pulmonary disease was implemented in TreeAge, Excel, and Arena.
A smoking cessation program was evaluated against usual care using consistent assumptions.
Packages were compared on implementation time, effort, run-time, result presentation, and flexibility.
Technical validation involved comparing deterministic and simulated results for cost-effectiveness.

Main Results:

TreeAge demonstrated the highest ease of implementation.
Arena offered the greatest flexibility in model development.
Deterministic and simulated results showed agreement across TreeAge, Excel, and Arena, confirming technical validity.

Conclusions:

TreeAge and Arena are recommended for complex health economic models despite a learning curve.
Microsoft Excel provides an intuitive interface suitable for simpler models.
Double implementation serves as a practical validation method for ensuring model accuracy.