Eliasziw M, Donner A
Department of Epidemiology and Biostatistics, University of Western Ontario, London, Canada.
Biometrics. 1990 Jun;46(2):391-8.
The asymptotic and finite-sample properties of several recent estimators of interclass correlation are compared to more traditional estimators in the case of a variable number of siblings per family. It is shown that Karlin's family-weighted pairwise estimator (Karlin, Cameron, and Williams, 1981, Proceedings of the National Academy of Science 78, 2664-2668) is virtually equivalent to the ensemble estimator (Rosner, Donner, and Hennekens, 1977, Applied Statistics 26, 179-187), thus suggesting an estimator of the former's asymptotic variance. Further, an estimator proposed by Srivastava (1984, Biometrika 71, 177-185) is shown to be identical to the modified sib-mean estimator (Konishi, 1982, Annals of the Institute of Statistical Mathematics 34, 505-515) when the sib-sib correlation is estimated by the method of unweighted group means. Although the estimator due to Srivastava has smaller asymptotic variance than the other two, the gain in efficiency is slight, for familial data, both asymptotically and in finite samples.
在每个家庭中兄弟姐妹数量可变的情况下,将几种近期的组内相关估计量的渐近性质和有限样本性质与更传统的估计量进行了比较。结果表明,卡林的家庭加权成对估计量(卡林、卡梅隆和威廉姆斯,1981年,《美国国家科学院院刊》78卷,2664 - 2668页)实际上等同于总体估计量(罗斯纳、唐纳和亨内肯斯,1977年,《应用统计学》26卷,179 - 187页),从而给出了前者渐近方差的一个估计量。此外,当通过未加权组均值法估计兄弟姐妹间的相关性时,斯里瓦斯塔瓦(1984年,《生物统计学》71卷,177 - 185页)提出的一个估计量被证明与修正的兄弟姐妹均值估计量(小西,1982年,《统计数学研究所年报》34卷,505 - 515页)相同。尽管斯里瓦斯塔瓦提出的估计量的渐近方差比其他两个估计量小,但对于家族数据而言,无论是在渐近情况下还是在有限样本中,效率的提升都很微小。