Troendle J F, Yu K F
National Institute of Child Health and Human Development, Division of Epidemiology, Statistics, and Prevention Research, Bethesda, MD 20892.
Ann Hum Genet. 1994 Oct;58(4):397-402. doi: 10.1111/j.1469-1809.1994.tb00735.x.
The problem of testing the Hardy-Weinberg law when the data are stratified in K strata is considered. Previous methods lose power when the departure from the law is irregular from stratum to stratum. Two methods based on the squared distance are proposed to overcome this problem. Simulations show that the new methods can have a dramatic improvement over the previous methods. The methods are applied to red cell glyoxalase genotype data from populations in India.
考虑了在数据按K个分层进行分层时检验哈迪-温伯格定律的问题。当各层偏离该定律的情况不规则时,以往的方法会失去效力。提出了两种基于平方距离的方法来克服这一问题。模拟结果表明,新方法相对于以往方法有显著改进。这些方法应用于印度人群的红细胞乙二醛酶基因型数据。