Testing for sufficient follow-up in survival data

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Title:	Testing for sufficient follow-up in survival data
Authors:	Shen, P.-S.
Contributors:	Department of Statistics, Tunghai University Taichung
Keywords:	Censored data;Immune;Mixture models;Nonparametric tests
Date:	2000
Issue Date:	2013-05-15T09:10:50Z (UTC)
Abstract:	Maller and Zhou (1992, Biometrika 79, 87-99; 1994, J. Amer. Statist. Assoc. 89, 1499-1506) proposed a nonparametric test, called the α?n-test, for testing insufficient versus sufficient follow-up. It was noted by Maller and Zhou (1996, Survival Analysis with longterm survivors, Wiley, New York) that the α?n-test can have Type I error much larger than the nominal value. In this note, it is pointed out that the α?n-test can be used instead to test the hypothesis of no immune proporiton when follow-up is sufficient. To test whether there is sufficient follow-up, a modified test, called the α?n-test, is proposed and shown to be consistent. Simulations are conducted to investigate the performances of the α?n-test and the other existing test, the qn-test, developed by Maller and Zhou (1996). Our investigation shows that both the α?n and qn-test can have a substantially smaller distortion of nominal significance level compared to the α?n-test. ? 2000 Elsevier Science B.V.
Relation:	Statistics and Probability Letters Volume 49, Issue 4, 1 October 2000, Pages 313-322
Appears in Collections:	[統計學系所] 期刊論文

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