Nonparametric conditional hazard rate estimation: A local linear approach

    Research output: Book/ReportReportProfessional

    140 Downloads (Pure)


    Parametric and semiparametric methods often fail to capture the right shape of the conditional hazard rate in survival analysis. In this paper we propose a new and intuitive nonparametric estimator for the conditional hazard rate, based on local linear estimation techniques. This estimator can deal with both censored and uncensored data. We show that the local linear hazard rate estimator is consistent and asymptotically normal distributed. Moreover, we derive plug-in bandwidths based on normal and uniform reference distributions. We show that these bandwidths perform reasonably well, even when the underlying distributional assumptions are violated. We illustrate the use of the nonparametric local linear hazard rate estimator and the bandwidth selection method in several simulation experiments and in two applications to real-life data.
    Original languageUndefined
    Place of PublicationEnschede
    PublisherUniversity of Twente, Department of Applied Mathematics
    ISBN (Print)0169-2690
    Publication statusPublished - 2005

    Publication series

    PublisherDepartment of Applied Mathematics, University of Twente
    ISSN (Print)0169-2690


    • MSC-62G05
    • MSC-62G20
    • MSC-62N01
    • METIS-223973
    • IR-65935
    • EWI-3571
    • MSC-62N02

    Cite this