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System-Subsystem Dependency Network for Integrating Multicomponent Data and Application to Health Sciences

  • Edward H. Ip
  • Shyh-Huei Chen
  • Jack Rejeski
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8393)

Abstract

Two features are commonly observed in large and complex systems. First, a system is made up of multiple subsystems. Second there exists fragmented data. A methodological challenge is to reconcile the potential parametric inconsistency across individually calibrated subsystems. This study aims to explore a novel approach, called system-subsystem dependency network, which is capable of integrating subsystems that have been individually calibrated using separate data sets. In this paper we compare several techniques for solving the methodological challenge. Additionally, we use data from a large-scale epidemiologic study as well as a large clinical trial to illustrate the solution to inconsistency of overlapping subsystems and the integration of data sets.

Keywords

Generalized dependency network Gibbs sampler System-subsystem modeling 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Edward H. Ip
    • 1
  • Shyh-Huei Chen
    • 1
  • Jack Rejeski
    • 2
  1. 1.Department of Biostatistical SciencesWake Forest School of MedicineWinston-SalemU.S.A.
  2. 2.Department of Health and Exercise SciencesWake Forest UniversityWinston-SalemU.S.A.

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