TreeAge Pro 2018, R2 Download Full Cracked Version

TreeAge Pro 2018, R2 Download Full Cracked Version

Build models to study simple and complex problems to choose the best possible outcome. Our visual editor makes it easy to build and present models. Use TreeAge Pro for any decision, including in the industries of healthcare, oil/gas exploration, business and finance.
Use sophisticated modeling techniques for complex decisions. TreeAge Pro supports Markov models, patient-level simulation (Microsimulation) models and time-to-event (DES) models using a consistent set of modeling and analysis tools.
Apply sophisticated analysis and reporting tools to your model, including decision analysis, cost-effectiveness analysis, sensitivity analysis, Monte Carlo simulation and more.

TreeAge Pro 2018, R2 Release
The TreeAge Pro 2018, R2 release is highlighted by improvements to sensitivity analysis tools including tornado diagrams.

Tornado Diagram Options
Cost-effectiveness models now support additional outputs including Incremental Net Monetary Benefits , Incremental Cost and Incremental Effectiveness (INMB, IC and IE) tornado diagrams.
Models with a single primary payoff now support the additional output Incremental Expected Value (IEV) tornado diagram.
Tornado Diagrams for Simulation Models
Tornado diagrams are now supported for patient simulation models.
Sensitivity Analysis Outputs
Sensitivity analyses, including 2-way and 3-way, now provide more text-based reports showing results for different parameter combinations.
These reports are more easily exported to Excel for additional processing outside TreeAge Pro.
Cohort-Level Patient Flow Reports for DES Models
Generate cohort-level reports similar to Markov cohort analysis reports for DES models.
Continuous time-based events are aggregated into Markov-like cycles to provide visibility/transparency for patient flows.
Print/Export Model Wizard
Use the new wizard to print models and generate image files for model structure.
Hide/show numeric elements in the model.
Split up large models into separate images.

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