Citation
Cole, Stephen R.; Edwards, Jessie K.; Naimi, Ashley I.; & Muñoz, Alvaro (2020). Hidden Imputations and the Kaplan-Meier Estimator. American Journal of Epidemiology, 189(11), 1408-1411. PMCID: PMC7731992Abstract
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.URL
http://dx.doi.org/10.1093/aje/kwaa086Reference Type
Journal ArticleYear Published
2020Journal Title
American Journal of EpidemiologyAuthor(s)
Cole, Stephen R.Edwards, Jessie K.
Naimi, Ashley I.
Muñoz, Alvaro