A spatial scan statistic

被引：2768

作者：

Kulldorff, M

机构：

[1] NCI,DIV CANC PREVENT & CONTROL,BIOMETRY BRANCH,BETHESDA,MD 20892

[2] UNIV UPPSALA,DEPT STAT,S-75120 UPPSALA,SWEDEN

来源：

COMMUNICATIONS IN STATISTICS-THEORY AND METHODS | 1997年 / 26卷 / 06期

基金：

瑞典研究理事会;

关键词：

point patterns; inhomogeneous Poisson process; Bernoulli process; clusters; clustering; confounders; sudden infant death syndrome;

D O I：

10.1080/03610929708831995

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 scan statistic is commonly used to test if a one dimensional point process is purely random, or if any clusters can be detected. Here it is simultaneously extended in three directions: (i) a spatial scan statistic for the detection of clusters in a multi-dimensional point process is proposed, (ii) the area of the scanning window is allowed to vary, and (iii) the baseline process may be any inhomogeneous Poisson process or Bernoulli process with intensity proportional to some known function. The main interest is in detecting clusters not explained by the baseline process. These methods are illustrated on an epidemiological data set, but there are other potential areas of application as well.

引用

页码：1481 / 1496

页数：16

共 23 条

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