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Análise de Ponto de Marco para Sobrevivência Condicional e Predição Dinâmica×Estimador de Sobrevivência de Kaplan-Meier×
ÁreaAnálise de sobrevivênciaAnálise de sobrevivência
FamíliaSurvival analysisSurvival analysis
Ano de origem19831958
Autor originalAnderson, J. R., Cain, K. C. & Gelber, R. D.Kaplan, E. L. & Meier, P.
TipoConditional survival estimatorNon-parametric survival estimator
Fonte seminalAnderson, J. R., Cain, K. C. & Gelber, R. D. (1983). Analysis of Survival by Tumor Response. Journal of Clinical Oncology, 1(11), 710–719. DOI ↗Kaplan, E. L. & Meier, P. (1958). Nonparametric Estimation from Incomplete Observations. Journal of the American Statistical Association, 53(282), 457–481. DOI ↗
Outros nomeslandmark method, dynamic prediction, conditional survival estimation, Landmark Analizi (Dinamik Tahmin)product-limit estimator, km curve, kaplan-meier sağkalım analizi
Relacionados32
ResumoLandmark analysis, introduced by Anderson, Cain, and Gelber in 1983, estimates conditional survival probabilities for subjects who are still at risk at a pre-specified point in time — the landmark — rather than at study entry. It was developed explicitly to avoid immortal time bias that arises when subjects are grouped by an event (such as a treatment change or biomarker result) that can only occur if they remain event-free long enough to experience it.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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ScholarGateComparar métodos: Landmark Analysis · Kaplan-Meier. Recuperado em 2026-06-17 de https://scholargate.app/pt/compare