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Software

Download the Indirect Estimation and Simulation Tool (IEST) using Python (Version 0.85.0.0 - 27-Feb-2012)

The project has so far produced the following software components:

These software components are available for download. Below is a full description of the software components as well as links for their download.

 

The Indirect Estimation and Simulation Tool (IEST)

IEST is a general software application designed to model the progression of chronic diseases. The software allows modeling multiple disease processes in parallel based on a state transition model . The user defines states, transition probabilities, model variations, parameters, population data and many other details to specify the model and sample and then simulates the disease process for a number of years.

The newer version of IEST allows model parameter estimation using the Lemonade Method.

Here are highlights of current capabilities of the software:

A set of examples is provided with the software to demonstrate its capabilities as well as a developer guide that explains the system from a technical point of view. Further information about the software can be found in its help system that is provided online for reference.

To access the help system, please click here.

For a set of videos demonstrating our software please click here

The software works in Python environment. For specifics regarding setup, read the README.txt file supplied in the zip archive or click on this link.

The software prototype is available for download using the link below under the GNU General Public License (GNU GPL).

Download the Indirect Estimation and Simulation Tool (IEST) using Python (Version 0.85.0.0 - 27-Feb-2012)

To download previous versions, please visit the Downloads page

A recent version of the Michigan Model for Diabetes was modeled using the IEST software. It can be downloaded from the model section of this web site.

Indirect Estimation Prototype for Matlab

This software implements the Lemonade Method. It enables estimating Markov model coefficients given a set of studies with sufficient data observations and associated population data.

The software works in Matlab environment. For specifics, read the README.txt file supplied in the zip archive. A set of examples is provided with the software to demonstrate its capabilities.

The software prototype is available for download using the link below under the GNU General Public License (GNU GPL).

Download the Indirect Estimation Prototype for Matlab (Version 0.39 - 09-Dec-2009)

Older versions of this software have been previously released and are no longer maintained. If you are interested in the newer Python version, please download the IEST tool described above.