Multiple Spatio-Temporal Cluster Detection for Case Event Data: An Ordering-Based Approach

被引:11
作者
Demattei, C. [1 ]
Cucala, L. [2 ]
机构
[1] Nimes Univ Hosp Ctr, Dept Med Informat, Nimes, France
[2] Inst Math & Modelling Montpellier, Montpellier, France
关键词
Case event data; Cluster detection; Ordering-based methods; Spatio-temporal distance;
D O I
10.1080/03610920903411200
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 article introduces a spatio-temporal distance which allows the extension of the spatial cluster detection methods of Demattei et al. (2007) and Cucala (2009). A review of these methods is given before we define a spatio-temporal distance. Then this distance is used for detecting spatio-temporal clusters. These ordering-based methods are compared to the scan statistic by a simulation study. The scan procedure is more powerful but it detects fewer true positives due to its lack of flexibility. Those techniques are applied to a seismic data set. This article highlights two advantages of the ordering-based methods: their flexibility and their low computational demand.
引用
收藏
页码:358 / 372
页数:15
相关论文
共 16 条
[1]   Estimating and testing linear models with multiple structural changes [J].
Bai, JS ;
Perron, P .
ECONOMETRICA, 1998, 66 (01) :47-78
[2]   A hypothesis-free multiple scan statistic with variable window [J].
Cucala, L. .
BIOMETRICAL JOURNAL, 2008, 50 (02) :299-310
[3]   A flexible spatial scan test for case event data [J].
Cucala, Lionel .
COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2009, 53 (08) :2843-2850
[4]  
Demattei C, 2006, EUR J PEDIAT DERMATO, V16, P159
[5]   Arbitrarily shaped multiple spatial cluster detection for case event data [J].
Demattei, Christophe ;
Molinari, Nicolas ;
Daures, Jean-Pierre .
COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2007, 51 (08) :3931-3945
[6]   SPATCLUS:: An R package for arbitrarily shaped multiple spatial cluster detection for case event data [J].
Demattei, Christophe ;
Molinari, Nicolas ;
Daures, Jean-Pierre .
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2006, 84 (01) :42-49
[7]  
Iyengar V.S., 2004, Proceedings ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, P587
[8]   Geographic clustering of prostate cancer grade and stage at diagnosis, before and after adjustment for risk factors [J].
Klassen A.C. ;
Kulldorff M. ;
Curriero F. .
International Journal of Health Geographics, 4 (1)
[9]  
KNOX EG, 1964, ROY STAT SOC C-APP, V13, P25
[10]   Evaluating cluster alarms: A space-time scan statistic and brain cancer in Los Alamos, New Mexico [J].
Kulldorff, M ;
Athas, WF ;
Feuer, EJ ;
Miller, BA ;
Key, CR .
AMERICAN JOURNAL OF PUBLIC HEALTH, 1998, 88 (09) :1377-1380