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Estimating crude cumulative incidences through multinomial logit regression on discrete cause-specific hazards

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  • Ambrogi, Federico
  • Biganzoli, Elia
  • Boracchi, Patrizia

Abstract

In the presence of competing risks, the estimation of crude cumulative incidence, i.e.the probability of a specific failure as time progresses, has received much attention in the methodological literature. It is possible to estimate crude cumulative incidence starting from models defined on cause-specific hazards or to adopt regression strategies modeling directly the quantity of interest. A generalized linear model based on discrete cause-specific hazard is used to obtain the crude cumulative incidence and its asymptotic variance. The model allows inference both on cause-specific hazard and on crude cumulative incidence in the presence of time dependent effects. Standard software can be used to compute all quantities of interest. A trial of chemoprevention of leukoplakia is considered for illustrative purposes, where different patterns of risk are suspected for the different causes of treatment failure.

Suggested Citation

  • Ambrogi, Federico & Biganzoli, Elia & Boracchi, Patrizia, 2009. "Estimating crude cumulative incidences through multinomial logit regression on discrete cause-specific hazards," Computational Statistics & Data Analysis, Elsevier, vol. 53(7), pages 2767-2779, May.
    • Handle: RePEc:eee:csdana:v:53:y:2009:i:7:p:2767-2779
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