विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| उत्तरजीविता वक्रों की तुलना के लिए लॉग-रैंक परीक्षण× | कैप्लान-मेयर सर्वाइवल एस्टिमेटर× | |
|---|---|---|
| क्षेत्र | उत्तरजीविता | उत्तरजीविता |
| परिवार | Survival analysis | Survival analysis |
| उद्भव वर्ष≠ | 1966 | 1958 |
| प्रवर्तक≠ | Mantel, N. | Kaplan, E. L. & Meier, P. |
| प्रकार≠ | Non-parametric hypothesis test | Non-parametric survival estimator |
| मौलिक स्रोत≠ | 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 ↗ | Kaplan, E. L. & Meier, P. (1958). Nonparametric Estimation from Incomplete Observations. Journal of the American Statistical Association, 53(282), 457–481. DOI ↗ |
| उपनाम≠ | Mantel log-rank test, Mantel-Cox test, log-rank sağkalım testi, Log-Rank Testi | product-limit estimator, km curve, kaplan-meier sağkalım analizi |
| संबंधित | 2 | 2 |
| सारांश≠ | 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. | The Kaplan-Meier estimator, introduced by Kaplan and Meier in 1958, is a non-parametric method that estimates the survival curve — the probability of remaining event-free over time — from right-censored time-to-event data. The log-rank test is the companion procedure used to compare survival curves between groups. |
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