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Multicenter Competing Risks Analysis/Evidence
Method evidence record

Multicenter Competing Risks Analysis

Multicenter competing risks analysis is a time-to-event method applied across multiple clinical centers to estimate the probability of a specific event of interest when other mutually exclusive events — competing risks — can preclude its occurrence. By pooling data from diverse sites, it achieves the sample sizes needed to model rare events and enables assessment of center-level variation in cumulative incidence and covariate effects.

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Source record

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

Multicenter Competing Risks 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
  • Austin, P. C., Lee, D. S., & Fine, J. P. (2016). Introduction to the analysis of survival data in the presence of competing risks. Circulation, 133(6), 601–609. · DOI 10.1161/CIRCULATIONAHA.115.017719
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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Taxonomic bucketCox proportional hazardsmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketKaplan-Meier Analysismachine-suggested · Relational suggestion, not evidence.Taxonomic bucketMulticenter cohort studymachine-suggested · Relational suggestion, not evidence.Taxonomic bucketMulticenter Cox proportional hazardsmachine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

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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