Competing risk regression models for epidemiologic data.

By B. Lau, Stephen R. Cole, S. Gange. American Journal of Epidemiology, 2009

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Data mining in clinical big data: the frequently used databases, steps, and methodological models (2021, background): “The difference between the Fine-Gray and CS models is that the former is applicable to establishing a clinical prediction model and predicting the risk of a single endpoint of interest [62], whereas the latter is suitable for answering etiological questions, where the regression coefficient reflects”
Practical recommendations for reporting Fine‐Gray model analyses for competing risk data (2017, methodology): “When using a cause‐specific hazard model in the presence of competing risks, it is incorrect to infer that a given variable is associated with an increased or decreased incidence of the event of interest, as formula 1 does not hold in the presence of competing risks.(5,6) This is because one must ac”