VARIANCE IMPUTATION FOR OVERVIEWS OF CLINICAL-TRIALS WITH CONTINUOUS RESPONSE
VARIANCE IMPUTATION FOR OVERVIEWS OF CLINICAL-TRIALS WITH CONTINUOUS RESPONSE
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DOI：
10.1016/0895-4356(92)90054-q
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发表时间：
1992-07-01
影响因子：
7.2
通讯作者：
CUTLER, J
中科院分区：
文献类型：
--
作者：
FOLLMANN, D;ELLIOTT, P;CUTLER, J
临床试验综述是总结某一特定科学领域信息的有效而重要的手段。当结果为连续变量时，需要同时估计治疗效应和方差，以构建总体治疗效应的置信区间。通常，在临床试验的出版物中仅提供关于方差的部分信息。本文提出了基于部分方差信息的方差插补方法。同时考虑了前测-后测（平行组）和交叉设计。其核心思想是使用不同的不完全信息源来帮助选择更好的方差估计。用aa数据集说明了插补建议。
Overviews of clinical trials are an efficient and important means of summarizing information about aa particular scientific area. When the outcome is aa continuous variable, both treatment effect and variance estimates are required to construct aa confidence interval for the overall treatment effect. Often, only partial information about the variance is provided in the publication of the clinical trial. This paper provides heuristic suggestions for variance imputation based on partial variance information. Both pretest-posttest (parallel groups) and crossover designs are considered. AA key idea is to use separate sources of incomplete information to help choose aa better variance estimate. The imputation suggestions are illustrated with aa data set.