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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- 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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