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Risk-adjusted competing risks analysis/Evidence
Method evidence record

Risk-adjusted competing risks analysis

Risk-adjusted competing risks analysis extends classical survival analysis to settings where subjects can experience more than one type of terminal event, and where the occurrence of one event prevents the occurrence of another. By modelling cause-specific or subdistribution hazards while adjusting for measured confounders, the method yields unbiased estimates of the absolute probability — the cumulative incidence function — of each event type over time in the presence of competing events.

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Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Risk-adjusted Competing Risks Survival Analysis
Taxonomic method record · process-pipeline / epidemiology
  • Fine, J. P., & Gray, R. J. (1999). A proportional hazards model for the subdistribution of a competing risk. Journal of the American Statistical Association, 94(446), 496–509. · DOI 10.1080/01621459.1999.10474144
  • Latouche, A., Allignol, A., Beyersmann, J., Labopin, M., & Fine, J. P. (2013). A competing risks analysis should report results on all cause-specific hazards and cumulative incidence functions. Journal of Clinical Epidemiology, 66(6), 648–653. · DOI 10.1016/j.jclinepi.2012.09.017
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Related methods

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Taxonomic bucketCox proportional hazardsmachine-suggested · Relational suggestion, not evidence.See alsoKaplan-Meier Estimatormachine-suggested · Relational suggestion, not evidence.Same method familyPropensity Score Matchingmachine-suggested · Relational suggestion, not evidence.Same method familySurvival Analysismachine-suggested · Relational suggestion, not evidence.

Evidence status

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Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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