Comparing methods for testing association in tables with zero cell counts using logistic regression

Nurin Dureh, Chamnein Choonpradub, Hilary Green

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

    Abstract

    Logistic regression is one of the most useful methods used to describe the relationship between a binary dependent variable and a set of independent variables. However, when any of the counts are zero, a nonconvergence problem will occur. A procedure for solving such a problem has been proposed by Firth (Biometrika 80:27–38, 1993 [4]), and provides finite parameter estimates based on penalized maximum likelihood. This study suggests a simpler method which involves modifying the data by replacing the zero count by one and doubling the corresponding nonzero count. Results show that this simple data modification method gives similar results to those from the Firth’s procedure
    Original languageEnglish
    Title of host publicationProceedings of the International Conference on Computing, Mathematics and Statistics
    Subtitle of host publicationbridging research endeavors
    EditorsAbd-Razak Ahmad, Liew Kee Kor, Illiasaak Ahmad, Zanariah Idrus
    Place of PublicationSingapore
    PublisherSpringer, Springer Nature
    Pages129-135
    Number of pages7
    ISBN (Electronic)9789811027727
    ISBN (Print)9789811027703
    Publication statusPublished - 2017
    EventInternational Conference on Computing, Mathematics and Statistics (2nd : 2015) - Langkawi Island, Malaysia
    Duration: 4 Nov 20155 Nov 2015
    Conference number: iCMS2015

    Conference

    ConferenceInternational Conference on Computing, Mathematics and Statistics (2nd : 2015)
    CountryMalaysia
    CityLangkawi Island
    Period4/11/155/11/15

    Fingerprint Dive into the research topics of 'Comparing methods for testing association in tables with zero cell counts using logistic regression'. Together they form a unique fingerprint.

  • Cite this

    Dureh, N., Choonpradub, C., & Green, H. (2017). Comparing methods for testing association in tables with zero cell counts using logistic regression. In A-R. Ahmad, L. K. Kor, I. Ahmad, & Z. Idrus (Eds.), Proceedings of the International Conference on Computing, Mathematics and Statistics : bridging research endeavors (pp. 129-135). Singapore: Springer, Springer Nature.