research-article

The reference model for disease progression: data quality control

Author:

Jacob BarhakAuthors Info & Claims

SummerSim '14: Proceedings of the 2014 Summer Simulation Multiconference

Article No.: 49, Pages 1 - 8

Published: 06 July 2014 Publication History

Abstract

The Reference Model for Disease Progression is a league of models that compete amongst themselves. High Performance Computing (HPC) drives the Monte Carlo (MC) micro-simulation which generates large information volumes.

The large amounts of information, model multiplicity, inputs from different sources, and human manipulation increases the chance for errors in the process.

Therefore quality control measures are required. The model itself is a method of quality control for other modelers and already demonstrated how current disease models are becoming outdated. This paper will describe potential hazards and methods employed to increase model credibility.

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Cited By

Barhak J(2016)Estimation of a disease model based on a discrete time Markov model using secondary data with transitions based on multi-dimensional tablesSimulation10.1177/003754971667372992:11(957-979)Online publication date: 1-Nov-2016
https://dl.acm.org/doi/10.1177/0037549716673729
Barhak JRozenblit JSametinger J(2015)Modeling clinical data from publicationsProceedings of the Symposium on Modeling and Simulation in Medicine10.5555/2873003.2873011(47-52)Online publication date: 12-Apr-2015
https://dl.acm.org/doi/10.5555/2873003.2873011

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cover image ACM Other conferences

SummerSim '14: Proceedings of the 2014 Summer Simulation Multiconference

July 2014

539 pages

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SCS: Society for Modeling and Simulation International

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SIGSIM: ACM Special Interest Group on Simulation and Modeling

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Society for Computer Simulation International

San Diego, CA, United States

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Published: 06 July 2014

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SummerSim '14: 2014 Summer Simulation Multiconference

July 6 - 10, 2014

California, Monterey

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Cited By

Barhak J(2016)Estimation of a disease model based on a discrete time Markov model using secondary data with transitions based on multi-dimensional tablesSimulation10.1177/003754971667372992:11(957-979)Online publication date: 1-Nov-2016
https://dl.acm.org/doi/10.1177/0037549716673729
Barhak JRozenblit JSametinger J(2015)Modeling clinical data from publicationsProceedings of the Symposium on Modeling and Simulation in Medicine10.5555/2873003.2873011(47-52)Online publication date: 12-Apr-2015
https://dl.acm.org/doi/10.5555/2873003.2873011

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