交叉试验中的M估计
M-estimation in cross-over trials.
作者信息
Chi E M
机构信息
Hoechst-Roussel Pharmaceuticals Inc., Somerville, New Jersey 08876.
出版信息
Biometrics. 1994 Jun;50(2):486-93.
PMID:8068847
Abstract
A robust procedure, combined M-estimation, is proposed for analyzing cross-over data with possible within- and between-subject outliers. The mean squared error properties of these combined M-estimates for direct treatment effect contrasts and carryover treatment effect contrasts are examined through simulation studies. They are found to be superior to those of the generalized least squares estimates when there are possible within- and between-subject outliers.
摘要
提出了一种稳健的方法，即组合M估计法，用于分析可能存在个体内和个体间异常值的交叉数据。通过模拟研究检验了这些组合M估计值在直接治疗效果对比和残留治疗效果对比方面的均方误差特性。结果发现，当存在可能的个体内和个体间异常值时，它们优于广义最小二乘估计值。
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