Cuzick and Edwards' test when exact locations are unknown.
Cuzick and Edwards' test when exact locations are unknown.
复制标题
库齐克和爱德华兹在确切位置未知的情况下进行了测试。
DOI：
10.1093/oxfordjournals.aje.a117159
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发表时间：
1994
影响因子：
5
通讯作者：
Jacquez,GM
中科院分区：
文献类型：
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作者：
Jacquez,GM
Cuzick和Edwards（JR Stat Soc[B] 1990;52：73- 104）提出了一种病例对照检验来检测空间聚类。检验统计量是在所有情况下，每个情况的sknearest邻居也是情况的数量之和。他们的方法是有吸引力的，因为它占人口密度的地理变化，因为它允许一个帐户的混杂因素，已知和未知的，通过明智的选择控制。然而，该测试假设病例位置是准确已知的，而实际上，病例位置通常近似于区域中心，如人口普查区和邮政编码区。在这种情况下，当病例和对照被分配到同一区域时，就会出现“联系”，信息的丢失会妨碍检验统计量的计算。作者的方法列举的方式，其中的关系可能会被解决，以获得上界和下界的确切的，未观察到的，检验统计量。当上界和下界显著时，不聚类的零假设被拒绝，当它们不显著时，它被接受。当上限显著但下限不显著时，不予判断。这种方法允许Cuzick和Edwards检验用于大多数聚类调查中典型的不精确位置。Am J Epidemiol 1994;140：58-64。
Cuzick and Edwards (JR Stat Soc[B] 1990;52:73–1 04) have proposed a case-control test to detect spatial clustering. The test statistic is the sum, over all cases, of the number of each case'sknearest neighbors that also are cases. Their approach is attractive in that it accounts for geographic variation in population density and because it allows one to account for confounders, both known and unknown, through the judicious selection of controls. However, the test assumes case locations are known exactly, when, in practice, case locations are usually approximated by the centers of areas such as census tracts and zip code zones. In such situations, “ties” arise when cases and controls are assigned to the same area, and the loss of information precludes calculation of the test statistic. The author's approach enumerates the ways in which the ties may be resolved to obtain upper and lower bounds on the exact, unobserved, test statistic. The null hypothesis of no clustering is rejected when the upper and lower bounds are significant, and it is accepted when they are not significant. Judgment is withheld when the upper bound is significant but the lower bound is not significant. This approach allows Cuzick and Edwards' test to be used with inexact locations typical of most cluster investigations.Am J Epidemiol1994;140:58–64.