The equivalence of two proportions revisited

被引：3

作者：

Andrés, AM

Tejedor, IH

机构：

[1] Univ Granada, Fac Med, E-18071 Granada, Spain

[2] Univ Complutense, Fac Med, E-28040 Madrid, Spain

来源：

JOURNAL OF APPLIED STATISTICS | 2004年 / 31卷 / 01期

关键词：

confidence intervals; comparisons of two proportions; conditional test; equivalence test; Z test; chi(2) test; 2; x; tables;

D O I：

10.1080/0266476032000148957

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：

The classic conditional test for checking that the difference between two independent proportions is not null may not be appropriate in many circumstances. Dunnett & Gent (1977) showed that in clinical trials, in studies of drugs, etc, the aim is to prove the practical equality (equivalence) of both proportions. On other occasions the aim may be the opposite: i.e. to prove that the two proportions are substantially different (biologically significant). Both cases are usually solved by two one-sided tests (TOST test). In this article, this procedure is shown to be conservative and two true two-sided tests for each case are proposed.

引用

页码：61 / 72

页数：12

共 32 条

[1] On small-sample confidence intervals for parameters in discrete distributions [J].