作者ym7226 (坚持到底 GO)
看板NCTU-STAT95G
标题演讲
时间Wed Oct 18 19:38:14 2006
题 目:
A Permutation Test for Cluster Detection
主讲人:余清祥教授(政治大学统计学系)
时 间:95年11月3日(星期五)上午10:40-11:30
(上午10:20-10:40茶会於交大统计所428室举行)
地 点:交大综合一馆427室
Abstract
In recent years, many statistical methods have been proposed for detecting
excesses of rare diseases, i.e., clusters, in space or in space-time. Most of
these methods deal with case-event or individual-level data and are designed
to detect clusters with shape close to circles. In this study, adapting the
idea of Choynowski (1957), a two-stage simulation-based approach is proposed
to detect both circular and non-circular clusters with aggregate or
group-level data. The proposed cluster-detection method will be used to
compare with Spatial scan statistic (Kulldorff, 1995) and Flexible scan
statistic (Tango, 2005), two frequently used methods. Computer simulation is
used to illustrate the validity of the proposed approach. In addition, the
cancer mortality and fertility data of Taiwan area are also used to
demonstrate the proposed test.
Key words. Cluster detection, Rare disease, Aggregate data, Monte Carlo
Simulation, Permutation Test.
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※ catherinejoy:转录至看板 NCTU-STAT94G 10/19 00:57
1F:推 catherinejoy:借转 我以前在政大念书的时候 上过余老师的课 很棒^^ 10/19 00:59