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TreeAge Pro Interactive is a Windows DLL used in interactive decision analysis applications for the Internet, intranet, and desktop applications.
The links below are to a number of example web applications using TreeAge Pro Interactive. All examples use trees created using the TreeAge Pro software. These example web applications show how, using a browser, values can be changed in a TreeAge Pro model and then a variety of analyses performed. Customized graphs and text reports are presented dynamically. (Desktop applications might utilize an Excel or Access interface, or a customized desktop application written in Flash, Visual Basic, or C++.)
For more information about TreeAge Pro Interactive, or to learn about getting a trial version including sample applications and a PDF manual, click here. You can also browse the Programmer/User Guide.
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Model: example depicting potential costs of a hypothetical discrimination suit. Options: change values and analyze the tree from the defendant's perspective. |
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Model: Non-calculating tree, presenting a series of questions based on actions/events in the tree. |
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Model: simple decision tree comparing utility of two treatments for gangrenous foot. Options: change model parameters, identify optimal strategy, perform sensitivity analysis.
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Model: relatively simple, generic Markov model comparing cost-effectiveness of three treatments. Options: change model parameters, perform cost-effectiveness analysis.
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Model: relatively complex model comparing life expectancy for four types of replacement heart valves using Markov models. Options: change model parameters, perform sensitivity analysis, Markov analysis, Monte Carlo simulation.
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Model: complex Markov model looking at cost-effectiveness of chronic myelogenous leukemia treatments. Options: change model parameters, perform Markov analysis.
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Model: decision tree for a vaccinate/don't vaccinate decision. Options: change probabilities, utilities, select optimal strategy.
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Model: simple decision tree comparing utility of three treatments for gangrenous foot. Options: change model parameters, identify optimal strategy, perform sensitivity analysis.
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