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STCOMPADJ: Stata module to estimate the covariate-adjusted cumulative incidence function in the presence of competing risks

Listed author(s):
  • Enzo Coviello


    (Dipartimento di Prevenzione Az. USL Ba/1)

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    stcompadj estimates the adjusted cumulative incidence function based on a Cox or a flexible parametric regression model in the presence of competing risks. Cox regression in the presence of competing risks is usually performed by fitting separate models for each failure type. It is possible to obtain the same results by using a single analysis after appropriately adapting the data set. In short this consists of expanding each observation for each cause of failure, creating a stratum indicator taking on a value of 1 for the first n records, 2 for the following n records and so on, and modifying the failure indicator so that it attains the value 1 for each observation of death caused by the main event in the first stratum, for each observation of death caused by the competing event in the second stratum and so on. This way of representing data (expanded format) allows to model both identical and different effects of the same covariate on the main and competing events.

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    Software component provided by Boston College Department of Economics in its series Statistical Software Components with number S457063.

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    Programming language: Stata
    Requires: Stata version 10.0
    Date of creation: 24 Jun 2009
    Date of revision: 25 Nov 2009
    Handle: RePEc:boc:bocode:s457063
    Note: This module should be installed from within Stata by typing "ssc install stcompadj". Windows users should not attempt to download these files with a web browser.
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    Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA

    Phone: 617-552-3670
    Fax: +1-617-552-2308
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