Joint Modeling of Disease Pairs

Authors

  • Gergely TÓTH ELTE Eötvös Loránd University, Faculty of Social Sciences, Departement of Statistics, H-1117 Pázmány sétány 1/A. Budapest, Hungary.
  • Sándor KABOS ELTE Eötvös University, Dept. of Statistics, Faculty of Social Sciences
  • György SURJÁN GYEMSZI National Institute for Quality- and Organizational Development in Healthcare and Medicines, H-1054 Hold utca 1. Budapest, Hungary.

Keywords:

Epidemiologic Studies, Regression Analysis, Poisson Distribution, Binomial Distribution

Abstract

Aim: Exploring the spatial patterns in joint distribution of incidences of two diseases. Material and method: A Poisson-Binomial regression model was used in analysing hospitalisation counts data in Hungary, 2008. Model parameters were estimated by MCMC implemented in WinBUGS. Results: Spatial patterns of laryngeal and hypopharyngeal cancer differ significantly from that of their ratio. Conclusion: The Poisson-Binomial model proposed here might help clarify us the different spatial dependencies of the sum and the ratio of incidences of two diseases.

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Published

10.03.2012

How to Cite

1.
TÓTH G, KABOS S, SURJÁN G. Joint Modeling of Disease Pairs. Appl Med Inform [Internet]. 2012 Mar. 10 [cited 2024 Dec. 21];30(1):29-33. Available from: https://ami.info.umfcluj.ro/index.php/AMI/article/view/364

Issue

Vol. 30 No. 1 (2012)

Section

Articles

License

 Creative Commons License
All papers published in Applied Medical Informatics are licensed under a Creative Commons Attribution (CC BY 4.0) International License.