Modeling the correlation between binary longitudinal data

Suraiya Kassim, Abdul Aziz Jemain, Husna Hasan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Binary outcomes which are observed repeatedly over time may be dependent not only on the covariates but also on each other. The repeated outcomes represent correlated binary longitudinal data and the modeling of such data was initiated by Liang and Zeger (1986) through the use of generalized estimating equations (GEE). Specification of the association structure among the outcomes remains a challenge associated with the GEE approach. This paper compares the GEE approach that uses correlation to the alternating logistic regression (ALR) approach that uses odds ratio, to model the association among outcomes.

Original languageEnglish
Title of host publicationStatistics and Operational Research International Conference, SORIC 2013
PublisherAmerican Institute of Physics Inc.
Pages208-216
Number of pages9
Volume1613
ISBN (Electronic)9780735412491
DOIs
Publication statusPublished - 1 Jan 2014
EventStatistics and Operational Research International Conference, SORIC 2013 - Sarawak, Malaysia
Duration: 3 Dec 20135 Dec 2013

Other

OtherStatistics and Operational Research International Conference, SORIC 2013
CountryMalaysia
CitySarawak
Period3/12/135/12/13

Fingerprint

estimating
logistics
specifications
regression analysis

Keywords

  • Alternating Logistic Regression
  • correlation
  • Generalized Estimating Equations
  • odds ratio

ASJC Scopus subject areas

  • Physics and Astronomy(all)

Cite this

Kassim, S., Jemain, A. A., & Hasan, H. (2014). Modeling the correlation between binary longitudinal data. In Statistics and Operational Research International Conference, SORIC 2013 (Vol. 1613, pp. 208-216). American Institute of Physics Inc.. https://doi.org/10.1063/1.4894347

Modeling the correlation between binary longitudinal data. / Kassim, Suraiya; Jemain, Abdul Aziz; Hasan, Husna.

Statistics and Operational Research International Conference, SORIC 2013. Vol. 1613 American Institute of Physics Inc., 2014. p. 208-216.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Kassim, S, Jemain, AA & Hasan, H 2014, Modeling the correlation between binary longitudinal data. in Statistics and Operational Research International Conference, SORIC 2013. vol. 1613, American Institute of Physics Inc., pp. 208-216, Statistics and Operational Research International Conference, SORIC 2013, Sarawak, Malaysia, 3/12/13. https://doi.org/10.1063/1.4894347
Kassim S, Jemain AA, Hasan H. Modeling the correlation between binary longitudinal data. In Statistics and Operational Research International Conference, SORIC 2013. Vol. 1613. American Institute of Physics Inc. 2014. p. 208-216 https://doi.org/10.1063/1.4894347
Kassim, Suraiya ; Jemain, Abdul Aziz ; Hasan, Husna. / Modeling the correlation between binary longitudinal data. Statistics and Operational Research International Conference, SORIC 2013. Vol. 1613 American Institute of Physics Inc., 2014. pp. 208-216
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