English, Article edition: STCOMPADJ: Stata module to estimate the covariate-adjusted cumulative incidence function in the presence of competing risks Enzo Coviello

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Bookmark: http://trove.nla.gov.au/version/25576
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  • code
Language
  • English

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Title
  • STCOMPADJ: Stata module to estimate the covariate-adjusted cumulative incidence function in the presence of competing risks
Author
  • Enzo Coviello
Physical Description
  • code
Notes
  • 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.
  • cumulative incidence function, competing risks, Cox regression, flexible parametric regression, risk
  • RePEc:boc:bocode:s457063
Language
  • English
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