Department of Economics and Business Economics

A SAS-macro for estimation of the cumulative incidence using Poisson regression

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A SAS-macro for estimation of the cumulative incidence using Poisson regression. / Waltoft, Berit Lindum.

In: Computer Methods and Programs in Biomedicine, Vol. 93, 2009, p. 140-147.

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperJournal articleResearchpeer-review

Harvard

Waltoft, BL 2009, 'A SAS-macro for estimation of the cumulative incidence using Poisson regression', Computer Methods and Programs in Biomedicine, vol. 93, pp. 140-147.

APA

Waltoft, B. L. (2009). A SAS-macro for estimation of the cumulative incidence using Poisson regression. Computer Methods and Programs in Biomedicine, 93, 140-147.

CBE

Waltoft BL. 2009. A SAS-macro for estimation of the cumulative incidence using Poisson regression. Computer Methods and Programs in Biomedicine. 93:140-147.

MLA

Waltoft, Berit Lindum. "A SAS-macro for estimation of the cumulative incidence using Poisson regression". Computer Methods and Programs in Biomedicine. 2009, 93. 140-147.

Vancouver

Waltoft BL. A SAS-macro for estimation of the cumulative incidence using Poisson regression. Computer Methods and Programs in Biomedicine. 2009;93:140-147.

Author

Waltoft, Berit Lindum. / A SAS-macro for estimation of the cumulative incidence using Poisson regression. In: Computer Methods and Programs in Biomedicine. 2009 ; Vol. 93. pp. 140-147.

Bibtex

@article{21d61480a00d11dd889c000ea68e967b,
title = "A SAS-macro for estimation of the cumulative incidence using Poisson regression",
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. Rosth{\o}j 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 Rosth{\o}j et al.",
author = "Waltoft, {Berit Lindum}",
note = "Paper id:: doi:10.1016/j.cmpb.2008.08.004",
year = "2009",
language = "English",
volume = "93",
pages = "140--147",
journal = "Computer Methods and Programs in Biomedicine",
issn = "0169-2607",
publisher = "Elsevier Ireland Ltd.",

}

RIS

TY - JOUR

T1 - A SAS-macro for estimation of the cumulative incidence using Poisson regression

AU - Waltoft, Berit Lindum

N1 - Paper id:: doi:10.1016/j.cmpb.2008.08.004

PY - 2009

Y1 - 2009

N2 - 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.

AB - 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.

M3 - Journal article

VL - 93

SP - 140

EP - 147

JO - Computer Methods and Programs in Biomedicine

JF - Computer Methods and Programs in Biomedicine

SN - 0169-2607

ER -