ScholarGate
Asistent

Porovnat metody

Prohlédněte si vybrané metody vedle sebe; řádky, které se liší, jsou zvýrazněny.

Adaptivní analýza přežití×Test log-rank pro porovnání křivek přežití×
OborEpidemiologieAnalýza přežití
RodinaProcess / pipelineSurvival analysis
Rok vzniku2000s (formalized ~2000–2006)1966
TvůrceBauer, Posch, and collaborators (adaptive design framework); Lachin & Foulkes (event-driven survival trial foundations)Mantel, N.
TypAdaptive statistical design for time-to-event outcomesNon-parametric hypothesis test
Původní zdrojBauer, 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 ↗
Další názvyadaptive time-to-event analysis, adaptive event-driven trial analysis, adaptive hazard modeling, ASAMantel log-rank test, Mantel-Cox test, log-rank sağkalım testi, Log-Rank Testi
Příbuzné32
ShrnutíAdaptive 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.
ScholarGateDatová sada
  1. v1
  2. 2 Zdroje
  3. PUBLISHED
  1. v1
  2. 2 Zdroje
  3. PUBLISHED

Přejít na hledání Stáhnout prezentaci

ScholarGatePorovnat metody: Adaptive Survival Analysis · Log-Rank Test. Získáno 2026-06-19 z https://scholargate.app/cs/compare