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What is TreeAge Pro?

TreeAge Pro is a purpose-built environment for building and analyzing sophisticated health-economic and decision models visually. It enables health economists and decision analysts to develop transparent, executable models without relying on extensive programming. TreeAge Pro supports decision trees, Markov and state-transition models, partitioned survival models, patient-level simulation, discrete-event simulation, cost-effectiveness analysis, probabilistic sensitivity analysis, calibration, survival and hazard modeling, and more. Its visual model structure helps users understand how assumptions, pathways, calculations, and uncertainty lead to results, making complex models easier to validate, review, communicate, and maintain. TreeAge Pro is used by pharmaceutical, biotechnology and medical-device companies, HEOR consultancies, academic researchers, healthcare organizations, and other decision-analysis professionals worldwide.

What is Quantellia?

Relying exclusively on machine learning can often be inadequate, as it tends to provide predictions or classifications without a straightforward method for reaching specific goals. On the other hand, a Decision Intelligence (DI) model establishes a link between actions and their results, clarifying the assumptions and predictions, which enables organizations to make informed adjustments based on data or expertise as they progress. In environments like event venues, sports arenas, educational institutions, corporate offices, and industrial facilities, the pressing question endures: how can they successfully mitigate the risk of COVID-19 transmission? Many organizations aim to surpass the baseline safety standards established by health authorities to ensure greater protection against the virus. Similar to how pilots engage with simulations to enhance their flying capabilities, our Pandemic Action Advisor (PANDAA) equips organizations to analyze the effects of different safety measures, including mask mandates, HVAC modifications, social distancing practices, and Far UVC lighting, all customized to the specific configurations of their facilities and the movement patterns of personnel and visitors. As we navigate this intricate landscape, it becomes evident that AI, which encompasses both machine learning and decision intelligence, is evolving and becoming more adept at tackling real-world issues. This progression highlights the importance of formulating comprehensive strategies that not only prioritize safety but also promote operational resilience in an ever-changing environment. Additionally, the integration of these advanced technologies offers a proactive approach to future challenges, fostering a culture of continuous improvement and adaptability.

Media

Media

Integrations Supported

Microsoft 365

Integrations Supported

API Availability

API Availability

Pricing Information

TreeAge Pro offers annual and perpetual licensing, with pricing based on license type and user category.

Discounted academic, government/non-profit, student, group, and network licensing options are available.

Contact TreeAge Software for current pricing and licensing options.
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

Windows
Mac
Linux

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
On-Site Training

Company Facts

Organization Name

TreeAge Software

Date Founded

1988

Company Location

United States

Company Website

www.treeage.com

Company Facts

Organization Name

Quantellia

Company Location

United States

Company Website

quantellia.com

Categories and Features

Decision Intelligence

Not specified

Decision Support

Data Analysis
Decision Tree Analysis
Monte Carlo Simulation
Sensitivity Analysis

Categories and Features

Decision Intelligence

Not specified

Decision Support

Not specified

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