Why no additive hazards models?

M.J. Newby

    Research output: Contribution to journalArticleAcademicpeer-review

    9 Citations (Scopus)
    221 Downloads (Pure)


    The intuitively attractive additive hazards model is compared with the proportional hazards and accelerated failure time models. The lack of identifiability limits the use of the model and prevents the application of regression versions using covariates. Fortunately, data analysis based on nonhomogeneous Poisson processes or on proportional hazards is likely to yield most of the information available in the data, even though they: 1) do not necessarily represent the underlying process, and 2) even seem unlikely in certain situations. In particular, proportional hazards modeling appears very robust and requires few assumptions.
    Original languageEnglish
    Pages (from-to)484-488
    JournalIEEE Transactions on Reliability
    Issue number3
    Publication statusPublished - 1994


    Dive into the research topics of 'Why no additive hazards models?'. Together they form a unique fingerprint.

    Cite this