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Grid multi-category response logistic models.

Publication ,  Journal Article
Wu, Y; Jiang, X; Wang, S; Jiang, W; Li, P; Ohno-Machado, L
Published in: BMC Med Inform Decis Mak
February 18, 2015

BACKGROUND: Multi-category response models are very important complements to binary logistic models in medical decision-making. Decomposing model construction by aggregating computation developed at different sites is necessary when data cannot be moved outside institutions due to privacy or other concerns. Such decomposition makes it possible to conduct grid computing to protect the privacy of individual observations. METHODS: This paper proposes two grid multi-category response models for ordinal and multinomial logistic regressions. Grid computation to test model assumptions is also developed for these two types of models. In addition, we present grid methods for goodness-of-fit assessment and for classification performance evaluation. RESULTS: Simulation results show that the grid models produce the same results as those obtained from corresponding centralized models, demonstrating that it is possible to build models using multi-center data without losing accuracy or transmitting observation-level data. Two real data sets are used to evaluate the performance of our proposed grid models. CONCLUSIONS: The grid fitting method offers a practical solution for resolving privacy and other issues caused by pooling all data in a central site. The proposed method is applicable for various likelihood estimation problems, including other generalized linear models.

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Published In

BMC Med Inform Decis Mak

DOI

EISSN

1472-6947

Publication Date

February 18, 2015

Volume

15

Start / End Page

10

Location

England

Related Subject Headings

  • Models, Statistical
  • Medical Informatics
  • Logistic Models
  • Information Dissemination
  • Humans
  • Confidentiality
  • Clinical Decision-Making
  • 4203 Health services and systems
  • 1103 Clinical Sciences
  • 0806 Information Systems
 

Citation

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Wu, Y., Jiang, X., Wang, S., Jiang, W., Li, P., & Ohno-Machado, L. (2015). Grid multi-category response logistic models. BMC Med Inform Decis Mak, 15, 10. https://doi.org/10.1186/s12911-015-0133-y
Wu, Yuan, Xiaoqian Jiang, Shuang Wang, Wenchao Jiang, Pinghao Li, and Lucila Ohno-Machado. “Grid multi-category response logistic models.BMC Med Inform Decis Mak 15 (February 18, 2015): 10. https://doi.org/10.1186/s12911-015-0133-y.
Wu Y, Jiang X, Wang S, Jiang W, Li P, Ohno-Machado L. Grid multi-category response logistic models. BMC Med Inform Decis Mak. 2015 Feb 18;15:10.
Wu, Yuan, et al. “Grid multi-category response logistic models.BMC Med Inform Decis Mak, vol. 15, Feb. 2015, p. 10. Pubmed, doi:10.1186/s12911-015-0133-y.
Wu Y, Jiang X, Wang S, Jiang W, Li P, Ohno-Machado L. Grid multi-category response logistic models. BMC Med Inform Decis Mak. 2015 Feb 18;15:10.
Journal cover image

Published In

BMC Med Inform Decis Mak

DOI

EISSN

1472-6947

Publication Date

February 18, 2015

Volume

15

Start / End Page

10

Location

England

Related Subject Headings

  • Models, Statistical
  • Medical Informatics
  • Logistic Models
  • Information Dissemination
  • Humans
  • Confidentiality
  • Clinical Decision-Making
  • 4203 Health services and systems
  • 1103 Clinical Sciences
  • 0806 Information Systems