Hidden Imputations and the Kaplan-Meier Estimator.
Am J Epidemiol
; 189(11): 1408-1411, 2020 11 02.
Article
em En
| MEDLINE
| ID: mdl-32412079
ABSTRACT
The Kaplan-Meier (KM) estimator of the survival function imputes event times for right-censored and left-truncated observations, but these imputations are hidden and therefore sometimes unrecognized by applied health scientists. Using a simple example data set and the redistribution algorithm, we illustrate how imputations are made by the KM estimator. We also discuss the assumptions necessary for valid analyses of survival data. Illustrating imputations hidden by the KM estimator helps to clarify these assumptions and therefore may reduce inappropriate inferences.
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Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Análise de Sobrevida
/
Interpretação Estatística de Dados
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Estimativa de Kaplan-Meier
Limite:
Humans
Idioma:
En
Ano de publicação:
2020
Tipo de documento:
Article