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Adaptive Survival Analysis/Evidence
Method evidence record

Adaptive Survival Analysis

Adaptive survival analysis integrates adaptive clinical trial design with time-to-event statistical methods, allowing pre-specified modifications to sample size, event targets, or allocation ratios at interim stages based on accumulating survival data. It is widely used in oncology, cardiovascular, and infectious disease research where the primary endpoint is a hazard-based outcome such as progression-free survival or all-cause mortality.

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Source record

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

Adaptive Survival Analysis
Taxonomic method record · process-pipeline / epidemiology
  • Bauer, P., & Posch, M. (2004). Modification of the sample size and the schedule of interim analyses in survival trials based on data inspections. Statistics in Medicine, 23(8), 1333–1353. · URL
  • Mehta, C., Bhatt, M., & Bhattacharya, R. (2009). Adaptive randomization for survival endpoints in oncology trials. Journal of Clinical Oncology, 27(15_suppl), e20750. · URL
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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.See alsoLog-Rank Testmachine-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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