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| 적응형 생존 분석× | 생존 곡선 비교를 위한 로그-순위 검정× | |
|---|---|---|
| 분야≠ | 역학 | 생존분석 |
| 계열≠ | Process / pipeline | Survival analysis |
| 기원 연도≠ | 2000s (formalized ~2000–2006) | 1966 |
| 창시자≠ | Bauer, Posch, and collaborators (adaptive design framework); Lachin & Foulkes (event-driven survival trial foundations) | Mantel, N. |
| 유형≠ | Adaptive statistical design for time-to-event outcomes | Non-parametric hypothesis test |
| 원전≠ | 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. link ↗ | Mantel, N. (1966). Evaluation of Survival Data and Two New Rank Order Statistics Arising in Its Consideration. Cancer Chemotherapy Reports, 50(3), 163–170. link ↗ |
| 별칭 | adaptive time-to-event analysis, adaptive event-driven trial analysis, adaptive hazard modeling, ASA | Mantel log-rank test, Mantel-Cox test, log-rank sağkalım testi, Log-Rank Testi |
| 관련≠ | 3 | 2 |
| 요약≠ | 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. | The log-rank test, developed by Nathan Mantel in 1966, is a non-parametric hypothesis test that compares the overall survival experience of two or more groups throughout the entire follow-up period. It is the standard companion to Kaplan-Meier curves and determines whether observed differences between curves are statistically meaningful. |
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