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Estimation of Survival Function and Median Survival Time in Interval-Censored Data
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 Title & Authors
Estimation of Survival Function and Median Survival Time in Interval-Censored Data
Yun, Eun-Young; Kim, Choong-Rak;
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 Abstract
Interval-censored observations are common in medical and epidemiologic studies; however, limited studies exist due to the complexity and special structure of interval-censoring. This paper introduces the imputation method and the self consistency method in the interval-censored data. We propose a new method of generating random numbers under an interval-censoring set-up. Through simulation studies we compare two methods under various simulation schemes in the sense of the mean squared error for estimating the median survival time and the mean integrated squared error for estimating the survival function. Under a moderate censoring percentage, the mean imputation method showed a better performance than the self-consistency method in estimating the median survival time and the survival function.
 Keywords
Interval-censored data;mean imputation;median survival time;self consistency;survival function;
 Language
Korean
 Cited by
1.
A Comparison of Testing Methods for Equality of Survival Distributions with Interval Censored Data,;;;

응용통계연구, 2012. vol.25. 3, pp.423-434 crossref(new window)
1.
A Comparison of Testing Methods for Equality of Survival Distributions with Interval Censored Data, Korean Journal of Applied Statistics, 2012, 25, 3, 423  crossref(new windwow)
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