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| 회고적 카플란-마이어 분석× | 생존 곡선 비교를 위한 로그-순위 검정× | |
|---|---|---|
| 분야≠ | 역학 | 생존분석 |
| 계열≠ | Process / pipeline | Survival analysis |
| 기원 연도≠ | 1958 (method); retrospective application standard in clinical research since 1970s–1980s) | 1966 |
| 창시자≠ | Edward L. Kaplan and Paul Meier | Mantel, N. |
| 유형≠ | Non-parametric survival analysis applied to historical data | Non-parametric hypothesis test |
| 원전≠ | Kaplan, E. L., & Meier, P. (1958). Nonparametric estimation from incomplete observations. Journal of the American Statistical Association, 53(282), 457–481. DOI ↗ | 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 | retrospective KM analysis, retrospective survival curve estimation, historical Kaplan-Meier, retrospective KM estimator | Mantel log-rank test, Mantel-Cox test, log-rank sağkalım testi, Log-Rank Testi |
| 관련≠ | 5 | 2 |
| 요약≠ | Retrospective Kaplan-Meier analysis applies the Kaplan-Meier product-limit estimator to time-to-event data drawn from existing records — medical charts, registries, or administrative databases — rather than from a prospectively followed cohort. The method estimates the probability of surviving (or remaining event-free) beyond any given time point while accounting for participants whose follow-up ended before the event occurred (censored observations). It is among the most commonly reported analyses in clinical oncology, cardiology, and surgery. | 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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