Tests for homogeneity of the risk difference when data are sparse

被引：44

作者：

Lipsitz, SR

Dear, KBG

Laird, NM

Molenberghs, G

机构：

[1] Harvard Univ, Sch Publ Hlth, Dept Biostat, Boston, MA 02115 USA

[2] Dana Farber Canc Inst, Boston, MA 02115 USA

[3] Univ Newcastle, Newcastle, NSW 2308, Australia

[4] Limburgs Univ Ctr, B-3590 Diepenbeek, Belgium

来源：

BIOMETRICS | 1998年 / 54卷 / 01期

关键词：

clinical trial; institution effect; treatment difference;

D O I：

10.2307/2534003

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Test statistics for the homogeneity of the risk difference for a series of 2 x 2 tables when the data are sparse is proposed. A weighted least squares statistic is commonly used to test for equality of the risk difference over the tables; however, when the data are sparse, this statistic can have anticonservative Type I error rates. Simulation is used to compare the proposed test statistics to the weighted least squares statistic. The weighted least squares statistic has the most anticonservative Type I error rates of all the statistics compared. We suggest the use of one of our proposed test statistics instead of the weighted least squares statistic.

引用

页码：148 / 160

页数：13

共 8 条

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Bishop M.M., 1975, DISCRETE MULTIVARIAT

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