Salīdzināt metodes

	Adaptīvā izdzīvošanas analīze	Log-rank tests salīdzināšanai izdzīvošanas līknēm
Nozare	Epidemioloģija	Dzīvildze
Saime	Process / pipeline	Survival analysis
Izcelsmes gads	2000s (formalized ~2000–2006)	1966
Autors	Bauer, Posch, and collaborators (adaptive design framework); Lachin & Foulkes (event-driven survival trial foundations)	Mantel, N.
Tips	Adaptive statistical design for time-to-event outcomes	Non-parametric hypothesis test
Pirmavots	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.	Mantel, N. (1966). Evaluation of Survival Data and Two New Rank Order Statistics Arising in Its Consideration. Cancer Chemotherapy Reports, 50(3), 163–170.
Citi nosaukumi	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
Saistītās	3	2
Kopsavilkums	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.