• Login
    View Item 
    •   SU+ Home
    • Conferences / Workshops / Seminars +
    • Strathmore International Mathematics Conference
    • SIMC 2017
    • View Item
    •   SU+ Home
    • Conferences / Workshops / Seminars +
    • Strathmore International Mathematics Conference
    • SIMC 2017
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Validation of the smooth test of goodness-of-fit for proportional hazards in Cancer survival studies

    Thumbnail
    View/Open
    Abstract - SIMC Conference paper, 2017 (63.24Kb)
    Date
    2017
    Author
    Odhiambo, Collins
    Odhiambo, John
    Omolo, Bernard
    Metadata
    Show full item record
    Abstract
    In this study, we validate the smooth test of goodness-of-fit for the proportionality of the hazard function in the two-sample problem in cancer survival studies. The smooth test considered here is an extension of Neyman’s smooth test for proportional hazard functions. Simulations are conducted to compare the performance of the smooth test, the data-driven smooth test, the Kolmogorov-Smirnov proportional hazards test and the global test, in terms of power. Eight real cancer datasets from different settings are assessed for the proportional hazard assumption in the Cox proportional hazard models, for validation. The smooth test performed best and is independent of the number of covariates in the Cox proportional hazard models.
    URI
    http://hdl.handle.net/11071/11810
    Collections
    • SIMC 2017 [85]

    DSpace software copyright © 2002-2016  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    Atmire NV
     

     

    Browse

    All of SU+Communities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    Login

    DSpace software copyright © 2002-2016  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    Atmire NV