Rank-Based Analysis of Unbalanced Repeated Measures Data

被引：0

作者：

Rashid, M. Mushfiqur ^{[1
]}

McKean, Joseph W. ^{[2
]}

Kloke, John D. ^{[3
]}

机构：

[1] US FDA, Ctr Drug Evaluat & Res, Off Biostat, Div Biostat 4, Rockville, MD 20857 USA

[2] Western Michigan Univ, Dept Stat, Kalamazoo, MI 49008 USA

[3] Univ Wisconsin, Dept Stat & Med Informat, Madison, WI 53706 USA

来源：

PAKISTAN JOURNAL OF STATISTICS AND OPERATION RESEARCH | 2012年 / 8卷 / 03期

关键词：

Clinical trials; Dispersion function; JR-Estimators; MR-Estimators; Interactions;

D O I：

10.18187/pjsor.v8i3.538

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

In this article, we have developed a rank (intra-subject) based analysis of clinical trials with unbalanced repeated measures data. We assume that the errors within each patient are exchangeable and continuous random variables. This rank-based inference is valid when the unbalanced data are missing either completely at random or by design. A drop in dispersion test is developed for general linear hypotheses. A numerical example is given to illustrate the procedure.

引用

页码：719 / 735

页数：17

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