Deterministic Sensitivity Analysis
Understand How Uncertainty in Individual Inputs Affects Model Results
Vary uncertain model inputs individually across specified ranges to understand how uncertainty in each parameter affects model results.
Health economic models rely on inputs that may be uncertain or vary across plausible values. Deterministic sensitivity analysis helps you understand how changes in those inputs affect results and identify the assumptions and parameters that have the greatest influence on your model.
TreeAge Pro provides integrated one-way sensitivity analysis and tornado diagram tools to explore parameter uncertainty and understand its impact on model results.
Vary Individual Inputs Across Specified Ranges
Examine How Changes in an Input Affect Model Results
Vary an individual model input across a specified range while holding other inputs constant to understand how changes in that parameter affect model results.
Explore Results Across the Parameter Range
Review how model outcomes change as the input moves across its range, including cost, effectiveness, ICERs, net monetary benefit, and other cost-effectiveness results.
Identify the Inputs with the Greatest Impact
Compare the Impact of Multiple Inputs
Run one-way sensitivity analyses across multiple uncertain inputs and present the results together in a tornado diagram. Each input is varied separately across its specified range.
See Which Inputs Have the Greatest Influence on Results
Tornado diagrams order inputs by the magnitude of their impact, making it easy to see which parameters have the greatest influence on the selected model outcome. TreeAge Pro can generate tornado diagrams for outcomes including net monetary benefit, cost, effectiveness, and other model outcomes.
