The simultaneous use of weighted logrank and weighted Kaplan-Meier statistics with clustered right-censored data

2009 ◽  
Vol 29 (1) ◽  
pp. 130-141 ◽  
Author(s):  
Yunchan Chi ◽  
Pei-Fang Su
Author(s):  
JONATHAN J. BATES ◽  
JOSÉ L. ZAYAS-CASTRO

A total of nine methods are compared and tables are presented for selecting the best performing estimator for a two-parameter Weibull distribution using randomly right censored data. The results indicate that a best performing method can be selected given a certain sample size, censoring level, and shape parameter range. Such a comparison of estimators is necessary as the best performing method is shown to vary across these values. The estimation methods tested include the Maximum Likelihood Estimator, Kaplan-Meier Estimator, Piecewise Exponential Estimator, Földes, Rejt, and Winter Estimator, Klein, Lee, and Moeschberger Partially Parametric Estimator, Ross Estimator, White Estimator, Bain and Engelhardt Estimator, and the Modified Profile Maximum Likelihood Estimator. Recommendations are provided for applying the studied approach to other types of data and distributions.


2021 ◽  
Author(s):  
Alexander Seipp ◽  
Verena Uslar ◽  
Dirk Weyhe ◽  
Antje Timmer ◽  
Fabian Otto‐Sobotka

Author(s):  
Tamara Fernández ◽  
Arthur Gretton ◽  
David Rindt ◽  
Dino Sejdinovic

2015 ◽  
Vol 14 (5) ◽  
pp. 409-417 ◽  
Author(s):  
Karen E. Lamb ◽  
Elizabeth J. Williamson ◽  
Michael Coory ◽  
John B. Carlin

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