Constrained mixture models in competing risks problems
نویسندگان
چکیده
منابع مشابه
Constrained Mixture Models in Competing Risks Problems
We consider the problem of modelling the failure-time distribution, where failure is due to two distinct causes. One approach is to adopt a two-component mixture model where the components correspond to the two dierent causes of failure. However, routine application of this approach with typical parametric forms for the component densities proves to be inadequate in modelling the time to a re-...
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In the analysis of competing risks data, cumulative incidence function is a useful summary of the overall crude risk for a failure type of interest. Mixture regression modeling has served as a natural approach to performing covariate analysis based on this quantity. However, existing mixture regression methods with competing risks data either impose parametric assumptions on the conditional ris...
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ژورنال
عنوان ژورنال: Environmetrics
سال: 1999
ISSN: 1180-4009,1099-095X
DOI: 10.1002/(sici)1099-095x(199911/12)10:6<753::aid-env388>3.3.co;2-b