The Knox method and other tests for space-time interaction

被引：113

作者：

Kulldorff, M ^{[1
]}

Hjalmars, U ^{[1
]}

机构：

[1] NCI, Biometry Branch, DCP, Bethesda, MD 20892 USA

来源：

BIOMETRICS | 1999年 / 55卷 / 02期

关键词：

bias; epidemiology; Jacquez's test; Knox test; Mantel's test; population shifts; power; space-time clustering; spatial statistics;

D O I：

10.1111/j.0006-341X.1999.00544.x

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

The Knox method, as well as other tests for space-time interaction, are biased when there are geographical population shifts, i.e., when there are different percent population growths in different regions. In this paper, the size of the population shift bias is investigated for the Knox test, and it is shown that it can be a considerable problem. A Monte Carlo method for constructing unbiased space-time interaction tests is then presented and illustrated on the Knox test as well as for a combined Knox test. Practical implications are discussed in terms of the interpretation of past results and the design of future studies.

引用

页码：544 / 552

页数：9

共 19 条

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ALDRICH TE, 1993, CLUSTER VERSION 3 0

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