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  • Analysis of time-to-event for observational studies : guidance to the use of intensity models
    Andersen, Per Kragh ...
    This paper provides guidance for researchers with some mathematical back- ground on the conduct of time-to-event analysis in observational studies based on intensity (hazard) models. Discussions of ... basic concepts like time axis, event definition and censoring are given. Hazard models are introduced, with special emphasis on the Cox proportional hazards regression model. We provide check lists that may be useful both when fitting the model and assessing its goodness of fit and when interpreting the results. Special attention is paid to how to avoid problems with immortal time bias by introducing time-dependent covariates. We discuss prediction based on hazard models and difficulties when attempt- ing to draw proper causal conclusions from such models. Finally, we present a series of examples where the methods and check lists are exemplified. Com- putational details and implementation using the freely available R software are documented in Supplementary Material. The paper was prepared as part of the STRATOS initiative.
    Vir: Statistics in medicine. - ISSN 0277-6715 (Vol. 40, iss. 1, Jan. 2021, str. 185-211)
    Vrsta gradiva - članek, sestavni del ; neleposlovje za odrasle
    Leto - 2021
    Jezik - angleški
    COBISS.SI-ID - 32162819

    Povezava(-e):

    https://onlinelibrary.wiley.com/doi/epdf/10.1002/sim.8757
    DOI

vir: Statistics in medicine. - ISSN 0277-6715 (Vol. 40, iss. 1, Jan. 2021, str. 185-211)
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