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• W2045734611 abstract "In survival analyses, we often estimate the hazard rate of a specific cause. Sometimes the main focus is not the hazard rates but the cumulative incidences, i.e., the probability of having failed from a specific cause prior to a given time. The cumulative incidences may be calculated using the hazard rates, and the hazard rates are often estimated by the Cox regression. This procedure may not be suitable for large studies due to limited computer resources. Instead one uses Poisson regression, which approximates the Cox regression. Rosthøj et al. presented a SAS-macro for the estimation of the cumulative incidences based on the Cox regression. I present the functional form of the probabilities and variances when using piecewise constant hazard rates and a SAS-macro for the estimation using Poisson regression. The use of the macro is demonstrated through examples and compared to the macro presented by Rosthøj et al." @default.
• W2045734611 created "2016-06-24" @default.
• W2045734611 creator A5011048868 @default.
• W2045734611 date "2009-02-01" @default.
• W2045734611 modified "2023-10-16" @default.
• W2045734611 title "A SAS-macro for estimation of the cumulative incidence using Poisson regression" @default.
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• W2045734611 doi "https://doi.org/10.1016/j.cmpb.2008.08.004" @default.
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