Method Comparison Of Censoring Cost Analyses

A multiple imputation method for sensitivity analyses of time-to-event data with possibly informative censoring.

This article presents a multiple imputation method for sensitivity analyses of time-to-event data with possibly informative censoring. The imputed time for censored values is drawn from the failure time distribution conditional on the time of follow-up discontinuation. A variety of specifications regarding the post-discontinuation tendency of having events can be incorporated in the imputation ...

A Rapid Method for the Comparison of Cluster Analyses

Cluster analysis has become a very popular tool for the exploration of high dimensional data. Dozens of algorithms have been proposed, each with its own merits and shortcomings. It is not known to what extent various methods give the same results, nor is it even clear how to measure how similar is the output of two distinct algorithms. Here we propose a statistic that is designed to measure the...

Optimization of Random Sample Size in Progressively Type II Censoring based on Cost Criterion

So far censored samples have been studied by many researchers. One of the most important methods of censoring is progressively type II censoring. An interesting issue in the discussion of censoring is determination of the optimal sample size. Various factors are influential in determining the appropriate sample size, the most important of which is the sampling cost criterion. In this paper, ass...

Comparison of Some Tests of Sample Censoring of Extreme Values

Comparison of presmoothing methods in kernel density estimation under censoring

1 Departamento de Matemáticas, Universidade da Coruña, Facultad de Ciencias, 15071 A Coruña (Spain) [email protected] 2 Department of Mathematics and University Center for Statistics, Katholieke Universiteit Leuven, Celestijnenlaan 200B, B-3001 Leuven (Heverlee), Belgium; Box 2400 [email protected] 3 Departamento de Matemáticas, Universidade da Coruña, Facultad de Informática, 15071 A...