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基于不完整的非递减重复测量,将多个治疗组与一个对照组进行比较的非参数方法。

Non-parametric methods for comparing multiple treatment groups to a control group, based on incomplete non-decreasing repeated measurements.

作者信息

Davis C S

机构信息

Department of Preventive Medicine, University of Iowa, Iowa City 52242, USA.

出版信息

Stat Med. 1996 Dec 15;15(23):2509-21. doi: 10.1002/(SICI)1097-0258(19961215)15:23<2509::AID-SIM383>3.0.CO;2-V.

DOI:10.1002/(SICI)1097-0258(19961215)15:23<2509::AID-SIM383>3.0.CO;2-V
PMID:8961460
Abstract

In the comparison of two or more treatment groups to a control group, consider a study with non-decreasing repeated measurements of the same characteristic taken over a common set of time points for each subject. Based on the vector of possibly incomplete responses from each subject, this paper considers asymptotically distribution-free tests of the equality of the groups. I propose consistent point estimators of the overall treatment differences and I derive non-parametric simultaneous confidence regions for the treatment effects. An example using data from a bladder cancer study illustrates the proposed methods.

摘要

在将两个或更多治疗组与一个对照组进行比较时,考虑一项针对每个受试者在一组共同的时间点上对同一特征进行非递减重复测量的研究。基于每个受试者可能不完整的反应向量,本文考虑对组间相等性进行渐近无分布检验。我提出了总体治疗差异的一致点估计量,并推导了治疗效果的非参数同时置信区域。一个使用膀胱癌研究数据的例子说明了所提出的方法。

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