Record Details

Quantile dispersion graphs to compare the efficiencies of cluster randomized designs

DSpace at IIT Bombay

View Archive Info
 
 
Field Value
 
Title Quantile dispersion graphs to compare the efficiencies of cluster randomized designs
 
Creator MUKHOPADHYAY, S
LOONEY, SW
 
Subject community intervention
intraclass correlation
smoking prevention
adolescent tobacco
trials
variance
models
components
errors
quantile dispersion graphs
power function
intracluster correlation
effect size
noncentrality parameter
 
Description The purpose of this article is to compare efficiencies of several cluster randomized designs using the method of quantile dispersion graphs (QDGs). A cluster randomized design is considered whenever subjects are randomized at a group level but analyzed at the individual level. A prior knowledge of the correlation existing between subjects within the same cluster is necessary to design these cluster randomized trials. Using the QDG approach, we are able to compare several cluster randomized designs without requiring any information on the intracluster correlation. For a given design, several quantiles of the power function, which are directly related to the effect size, are obtained for several effect sizes. The quantiles depend on the intracluster correlation present in the model. The dispersion of these quantiles over the space of the unknown intracluster correlation is determined, and then depicted by the QDGs. Two applications of the proposed methodology are presented.
 
Publisher ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
 
Date 2011-08-27T11:04:14Z
2011-12-26T12:57:53Z
2011-12-27T05:45:54Z
2011-08-27T11:04:14Z
2011-12-26T12:57:53Z
2011-12-27T05:45:54Z
2009
 
Type Article
 
Identifier JOURNAL OF APPLIED STATISTICS, 36(11), 1293-1305
0266-4763
http://dx.doi.org/10.1080/02664760902914508
http://dspace.library.iitb.ac.in/xmlui/handle/10054/11643
http://hdl.handle.net/10054/11643
 
Language en