Modelling IVF data using an extended continuation ratio random effects model

Ruth Penman, Gillian Heller, John Tyler

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

    Abstract

    In Vitro Fertilization (IVF) offers infertile couples the opportunity to have a baby. Many of these couples have multiple attempts to try to achieve this goal. To model the risk factors that affect the process at any of its stages, across the multiple attempts, an ordinal response and an extended continuation ratio random effects model have been used. This enabled the modelling of differential effects of covariates on different stages of the process. A significant random effect suggests that there is a couple specific effect, which may be interpreted as a fertility index.
    Original languageEnglish
    Title of host publicationProceedings of the 22nd International Workshop on Statistical Modelling
    EditorsJoan del Castillo, Anna Espinal, Pere Puig
    Place of PublicationBarcelona, Spain
    PublisherL'Institut d'Estadistica de Catalunya, IDESCAT
    Pages485-489
    Number of pages5
    ISBN (Print)9788469059432
    Publication statusPublished - 2007
    EventInternational Workshop on Statistical Modelling (22nd : 2007) - Barcelona, Spain
    Duration: 2 Jul 20076 Jul 2007

    Workshop

    WorkshopInternational Workshop on Statistical Modelling (22nd : 2007)
    CityBarcelona, Spain
    Period2/07/076/07/07

    Keywords

    • IVF
    • extended continuation ratio model
    • random effects model

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  • Cite this

    Penman, R., Heller, G., & Tyler, J. (2007). Modelling IVF data using an extended continuation ratio random effects model. In J. D. Castillo, A. Espinal, & P. Puig (Eds.), Proceedings of the 22nd International Workshop on Statistical Modelling (pp. 485-489). Barcelona, Spain: L'Institut d'Estadistica de Catalunya, IDESCAT.