On the Distribution of Summary Statistics for Missing Data.
On the Distribution of Summary Statistics for Missing Data.
复制标题
关于缺失数据的汇总统计量的分布。
DOI：
10.1080/03610926.2018.1425447
复制
发表时间：
2019
期刊：
影响因子：
--
通讯作者：
Glueck,DH
中科院分区：
文献类型：
--
作者：
Ringham,BM;Kreidler,SM;Muller,KE;Glueck,DH
在假设缺失值在矩阵中随机出现的情况下，推导了六个统计量的期望值和方差的公式，这些统计量总结了缺失值的数量和位置。对于第七个统计量，基于模拟数据的回归模型产生了对期望值的估计。这些结果可用于开发方法，以控制多水平和有缺失数据的纵向研究的I型误差和近似功率和样本量。
Under an assumption that missing values occur randomly in a matrix, formulae are developed for the expected value and variance of six statistics that summarize the number and location of the missing values. For a seventh statistic, a regression model based on simulated data yields an estimate of the expected value. The results can be used in the development of methods to control the Type I error and approximate power and sample size for multilevel and longitudinal studies with missing data.