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Non-parametric group sequential designs in randomized clinical trials
被引:3
|作者:
Bandyopadhyay, U
Biswas, A
机构:
[1] Indian Stat Inst, Appl Stat Unit, Kolkata 700035, W Bengal, India
[2] Univ Calcutta, Dept Stat, Kolkata 700019, W Bengal, India
关键词:
equivalence;
group sequential methods;
inverse binomial sampling;
repeated significance tests;
stopping rule;
type 1 error spending function;
D O I:
10.1111/1467-842X.00290
中图分类号:
O21 [概率论与数理统计];
C8 [统计学];
学科分类号:
020208 ;
070103 ;
0714 ;
摘要:
This paper examines some non-parametric group sequential designs applicable for randomized clinical trials, for comparing two continuous treatment effects taking the observations in matched pairs, or applicable in event-based analysis. Two inverse binomial sampling schemes are considered, of which the second one is an adaptive data-dependent design. These designs are compared with some fixed sample size competitors. Power and expected sample sizes are calculated for the proposed procedures.
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页码:367 / 376
页数:10
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