(Henan Medical University Zhengzhou 450052) Heidi Holmes Morgan
(University of Kansas Medical Center Kansas 66160)
关键词：Censorship；Effective sample size；Rate test；Sample size
A NONPARAMETRIC PROCEDURE OF THE SAMPLE
SIZE DETERMINATION FOR SURVIVAL RATE TEST
ZHAO Guolong
(Henan Medical University Zhengzhou 450052)
Heidi Holmes Morgan
(University of Kansas Medical Center Kansas 66160)
Abstract ObjectiveThis paper proposes a nonparametric procedure of the sample size determination forsurvival rate test. Methods Using the classical asymptotic normal procedure yields therequired homogenetic effective sample size and using the inverse operation with theprespecified value of the survival function of censoring times yields the required samplesize. Results It is matched with the rate test for censored data, does not involvesurvival distributions, and reduces to its classical counterpart when there is nocensoring. The observed power of the test coincides with the prescribed power under usualclinical conditions. Conclusion It can be used for planning survival studies of chronicdiseases.
Key works Censorship Effective sample size Rate test Sample size
中图分类号： O 213.9 文献标识码： A
文章编号： 1004-4337(2000)03-0273-05
In the survival studies of chronic diseases, the most frequently used methods ofdata analysis are the nonparametric estimations and comparisons of survival rates atdifferent times but there have been no matched methods for determining the required samplesize so far. Instead have been often used the parametric methods based on the assumptionof exponential distributions[1～7] such that the relevant sample sizes maynot be satisfied with the prescribed power.
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