Abstract:
:We consider the problem of comparing two outcome measures when the pairs are clustered. Using the general principle of within-cluster resampling, we obtain a novel signed-rank test for clustered paired data. We show by a simple informative cluster size simulation model that only our test maintains the correct size under a null hypothesis of marginal symmetry compared to four other existing signed rank tests; further, our test has adequate power when cluster size is noninformative. In general, cluster size is informative if the distribution of pair-wise differences within a cluster depends on the cluster size. An application of our method to testing radiation toxicity trend is presented.
journal_name
Biometricsjournal_title
Biometricsauthors
Datta S,Satten GAdoi
10.1111/j.1541-0420.2007.00923.xsubject
Has Abstractpub_date
2008-06-01 00:00:00pages
501-7issue
2eissn
0006-341Xissn
1541-0420pii
BIOM923journal_volume
64pub_type
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