ScholarGate
Avustaja

Vertaile menetelmiä

Tarkastele valitsemiasi menetelmiä rinnakkain; eroavat rivit korostetaan.

Yhteismalli pitkittäisille tiedoille ja tapahtuma-aika-tiedolle×Kaplan-Meierin selviytymisestimaattori×Nelson-Aalen-estimaattori×
TieteenalaElinaika-analyysiElinaika-analyysiElinaika-analyysi
MenetelmäperheSurvival analysisSurvival analysisSurvival analysis
Syntyvuosi200419581972
KehittäjäTsiatis, A.A. & Davidian, M.; Rizopoulos, D.Kaplan, E. L. & Meier, P.Wayne Nelson & Odd Aalen
TyyppiSemiparametric regression modelNon-parametric survival estimatorNon-parametric cumulative hazard estimator
AlkuperäislähdeRizopoulos, D. (2012). Joint Models for Longitudinal and Time-to-Event Data. CRC Press. DOI ↗Kaplan, E. L. & Meier, P. (1958). Nonparametric Estimation from Incomplete Observations. Journal of the American Statistical Association, 53(282), 457–481. DOI ↗Nelson, W. (1972). Theory and applications of hazard plotting for censored failure data. Technometrics, 14(4), 945–966. DOI ↗
Rinnakkaisnimetjoint model, shared random effects model, longitudinal-survival joint model, Joint Model (Boylamsal + Sağkalım Birleşik Model)product-limit estimator, km curve, kaplan-meier sağkalım analiziNelson-Aalen cumulative hazard, Aalen estimator, empirical cumulative hazard, Nelson-Aalen kümülatif hazard tahmincisi
Liittyvät525
TiivistelmäThe joint model for longitudinal and time-to-event data, formalised by Tsiatis and Davidian in 2004 and extended comprehensively by Rizopoulos in 2012, simultaneously estimates a mixed-effects model for repeatedly measured biomarkers and a survival model for the time to an event, linking the two processes through shared random effects. It resolves two major problems that simpler approaches cannot handle: informative dropout from longitudinal studies and the endogeneity of time-varying biomarkers used as covariates in a Cox model.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.The Nelson-Aalen estimator is a non-parametric estimator of the cumulative hazard function from right-censored time-to-event data. Developed by Wayne Nelson for reliability hazard plotting in 1972 and placed on a rigorous counting-process foundation by Odd Aalen in 1978, it accumulates the ratio of observed events to the number at risk at each event time, providing the natural hazard-scale companion to the Kaplan-Meier survival curve.
ScholarGateAineisto
  1. v1
  2. 2 Lähteet
  3. PUBLISHED
  1. v2
  2. 2 Lähteet
  3. PUBLISHED
  1. v1
  2. 2 Lähteet
  3. PUBLISHED

Siirry hakuun Lataa diat

ScholarGateVertaile menetelmiä: Joint Model for Longitudinal and Survival Data · Kaplan-Meier · Nelson-Aalen Estimator. Haettu 2026-06-19 osoitteesta https://scholargate.app/fi/compare