Extending the flexible parametric survival model for competing risks
Sally R. Hinchliffe
Department of Health Sciences
University of Leicester
Leicester, UK
[email protected]
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Paul C. Lambert
Department of Health Sciences
University of Leicester
Leicester, UK
[email protected]
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Abstract. Competing risks are present when the patients within a dataset could
experience one or more of several exclusive events and the occurrence of any
one of these could impede the event of interest. One of the measures of
interest for analyses of this type is the cumulative incidence function.
stpm2cif is a postestimation command used to generate predictions of
the cumulative incidence function after fitting a flexible parametric survival
model using stpm2. There is also the option to generate confidence
intervals, cause-specific hazards, and two other measures that will be
discussed in further detail. The new command is illustrated through a simple
example.
View all articles by these authors:
Sally R. Hinchliffe, Paul C. Lambert
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stpm2cif, survival analysis, competing risks, cumulative incidence, cause-specific hazard
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