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A permutation test for nonindependent matched pair data

Title
A permutation test for nonindependent matched pair data
Authors
Kang S.-H.Kim H.W.Ahn C.W.
Ewha Authors
강승호
Issue Date
2001
Journal Title
Therapeutic Innovation & Regulatory Science
ISSN
2168-4790JCR Link
Citation
vol. 35, no. 2, pp. 407 - 411
Keywords
DentistryIntraclass correlationPaired T-testWilcoxon signed-rank test
Indexed
SCIE; SCOPUS scopus
Abstract
The paired t-test and the Wilcoxon signed-rank test are often conducted to compare two continuous outcomes from paired observations. An assumption underlying these tests is that the responses from pair to pair are mutually independent. However, the assumption is violated in certain applications such as site-specific data in periodontal research. An adjustment to the paired t-test to account for the clustering effect has been well developed. But the adjustment relies on either large sample theory or the assumption that the observations being analyzed follow a normal distribution. In this paper, we propose a permutation test for matched pair clustered data which are valid in small samples. We developed and reviewed software to carry out the proposed test. The proposed test is applied to real-life data. © 2001, Drug Information Association. All rights reserved.
DOI
10.1177/009286150103500209
Appears in Collections:
자연과학대학 > 통계학전공 > Journal papers
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