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References in periodicals archive ?
The Kaplan-Meier estimator was used to gauge survival of patients over time, which included the probability of event occurrence i.e.
miyamotoi RNA and DNA in blood samples and the Kaplan-Meier estimator to assess persistence of DNA or RNA of pathogens in blood.
Chapter 10 is dedicated to survival analysis, covering the topics of incomplete data, the Kaplan-Meier estimator, the Cox model, and additive models.
The unadjusted Kaplan-Meier estimator and adjusted proportional hazards regression models tested the hypothesis that excess mortality is associated with epilepsy.
According to the Kaplan-Meier estimator, which expresses a graphic representation of the real data (Carvalho et al.
OS and CSS survival were calculated using the Kaplan-Meier estimator. Log-rank test statistics were used to compare the survival outcomes among different groups.
Since there was no censure in the data, the eligibility of the logistic or the Weibull model to replace the Kaplan-Meier estimator is ensured.
Using a modified Kaplan-Meier estimator (Kaplan and Meier, 1958) with 2 y of radiotelemetry data, we present an estimate of the adult annual survival rate of eastern box turtles in Indiana.
Survival was calculated using the Kaplan-Meier estimator because it is a nonparametric test that does not restrict shape of the survival curve and allows for staggered entry (Kaplan and Meier, 1978; Samuel and Fuller, 1994).
The concepts of censoring, life table, survival function, the Kaplan-Meier estimator and the cumulative hazard function are then described.
A survival function will be specified, and the Kaplan-Meier estimator of the survivorship function (Kaplan and Meier, 1958) will be applied in order to estimate the survival rate of a vehicle.