Rekodi ya ushahidi wa mbinu

Adaptive Competing Risks Analysis

Adaptive competing risks analysis combines the Fine-Gray subdistribution hazard framework — which models the cumulative incidence of one cause of failure in the presence of other mutually exclusive causes — with adaptive or group-sequential interim monitoring rules. This allows a clinical trial or observational study to be modified mid-course (e.g., sample size reassessment, early stopping) based on accumulating competing-risk data while maintaining pre-specified type I error control.

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Rekodi ya chanzo

Nukuu zimehamishwa kwa uhalisi kutoka kwa rekodi ya chanzo cha mbinu. Hakuna uthibitisho wa kiwango cha dai unaodokezwa kutoka kwao.

Rekodi ya mbinu ya kiajenda · 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
Beyersmann, J., Allignol, A., & Schumacher, M. (2012). Competing Risks and Multistate Models with R. Springer. · ISBN 978-1461420767

Fungua mbinu kamili

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Mbinu zinazohusiana

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Same method familyAdaptive Trial Designmachine-suggested · Relational suggestion, not evidence.Same method familySurvival Analysismachine-suggested · Relational suggestion, not evidence.