SEMIPARAMETRIC AND NONPARAMETRIC METHODS FOR THE ANALYSIS OF REPEATED MEASUREMENTS WITH APPLICATIONS TO CLINICAL-TRIALS
SEMIPARAMETRIC AND NONPARAMETRIC METHODS FOR THE ANALYSIS OF REPEATED MEASUREMENTS WITH APPLICATIONS TO CLINICAL-TRIALS
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DOI：
10.1002/sim.4780101210
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发表时间：
1991-12-01
影响因子：
2
通讯作者：
DAVIS, CS
中科院分区：
文献类型：
--
作者：
DAVIS, CS
当响应变量为非正态分布时，纵向数据分析的适用技术并不像正态分布结果那样全面。然而，最近出现了一些事态发展。半参数和非参数方法的重复测量的分析进行了审查。考虑了常见的设计，其中对于每例受试者，在多个固定时间点评估单变量响应变量。所考虑的结果类型包括二元、有序分类和连续（但极非正态）响应变量。考虑的所有方法都考虑到了由于观察值缺失而导致的不完整数据。此外，离散和/或连续的协变量，这可能是时间依赖性的，是容纳的一些方法。使用来自三个临床试验的数据证明了该方法。
Techniques applicable for the analysis of longitudinal data when the response variable is non-normal are not nearly as comprehensive as for normally-distributed outcomes. However, there have been several recent developments. Semi-parametric and non-parametric methodology for the analysis of repeated measurements is reviewed. The commonly encountered design in which, for each subject, one assesses a univariate response variable at multiple fixed time points, is considered. The types of outcomes considered include binary, ordered categorical, and continuous (but extremely non-normal) response variables. All of the methods considered allow for incomplete data due to the occurrence of missing observations. In addition, discrete and/or continuous covariates, which may be time-dependent, are accommodated by some of the approaches. The methods are demonstrated using data from three clinical trials.