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+--- Thread: SpiceLogic Decision Tree Analyzer 6.1.11 (/Thread-SpiceLogic-Decision-Tree-Analyzer-6-1-11--320138)
SpiceLogic Decision Tree Analyzer 6.1.11 - bingbing88 - 01-12-2024
![[Image: 6b3f2abf4b8a59bd34ca03ce934c4955.jpeg]](https://i122.fastpic.org/big/2024/0112/55/6b3f2abf4b8a59bd34ca03ce934c4955.jpeg)
Free Download SpiceLogic Decision Tree Analyzer 6.1.11 | 39.3 Mb
Decision Tree Maker & Analyzer Software with Intuitive User Experience. Because you do not deserve the pain of a poorly designed, boring, and awkward user interface for Decision Analysis, SpiceLogic has brought you the most Intuitive and beautiful wizard-like Decision Tree Analysis Software. The user experience is intuitive enough so that you don't need to learn through a manual. You can intuitively guess the correct way to achieve what you want to model.
Free Live training (Zoom or Teams, whatever you prefer)
If you need, we will book a live one-hour one-to-one training session for you, demonstrating the various features of this software. We will walk thru the user interface and show you how to model a problem that you are concerned about.
Cost-Effectiveness Analysis for healthcare
Use QALY or DALY as an Effectiveness payoff into the decision tree. Include Cost and visualize the cost-effectiveness plane.
Create a Markov Chain, simple or complex, directly into the tree.
As a healthcare student, you will be glad to know that, you can model your Markov chain within the Decision Tree analyzer. You can add Rewards to a state to turn your Markov Chain into a Markov Decision Process. You can add multiple Markov nodes and complicate the decision model as you wish.
Visualize perspectives of your Markov Decision Process
Model a complex Markov Decision Process and attach rewards to States as Cost-Effectiveness. View all the charts and tables generated by Cohort Simulation.
Advanced Utility Function for payoff modeling
Intuitively modeling utility function is one of the features that make this decision tree software stand out from others. It lets you go very deep with shaping rich utility functions.
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