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Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents

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A Comparison of Four Software Programs for Implementing Decision Analytic Cost-Effectiveness Models.

Chase Hollman¹, Mike Paulden^2,3, Petros Pechlivanoglou^4,5,6

¹Department of Emergency Medicine, University of Alberta, 3-264 Edmonton Clinic Health Academy, 11405 87 Ave NW, Edmonton, AB, T6G 1C9, Canada.

Pharmacoeconomics

|May 11, 2017

Summary

This summary is machine-generated.

This study compares TreeAge Pro, Excel, R, and MATLAB for cost-effectiveness modeling. For complex analyses, programming languages like R and MATLAB offer greater efficiency and transparency than Excel or TreeAge Pro.

Keywords:

Debug Tool Health Technology Assessment Health Technology Assessment Agency Integrate Development Environment Markov Tree

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Area of Science:

Health economics
Decision analysis modeling
Computational modeling

Background:

Decision analytic modeling is increasingly used in academic and commercial research.
A few software programs dominate cost-effectiveness modeling.
Markov models and decision trees are predominant for cohort simulations in published literature.

Purpose of the Study:

To compare four software programs (TreeAge Pro, Microsoft Excel, R, MATLAB) for cost-effectiveness modeling.
To evaluate software based on transparency, validation, learning curve, capability, processing speed, and cost.
To rank programs for different user needs and analysis complexity.

Main Methods:

Qualitative comparison using criteria: transparency and validation, learning curve, capability.
Quantitative assessment of processing speed.
Consideration of academic and commercial user costs.
Focus on software for Markov models and decision trees in cohort simulations.

Main Results:

Microsoft Excel and TreeAge Pro are suitable for educational purposes and standard health technology assessment (HTA) analyses.
R and MATLAB demonstrate efficiency and transparency advantages for more complex analyses.
Processing speed and capability increase with programming languages for intricate models.

Conclusions:

The choice of software depends on the complexity of the cost-effectiveness analysis and user requirements.
For basic HTA needs, Excel and TreeAge Pro are practical options.
For advanced, complex modeling, R and MATLAB provide superior efficiency and transparency.