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Sample Size Calculations for Clustered and Longitudinal Outcomes in Clinical Research
book

Sample Size Calculations for Clustered and Longitudinal Outcomes in Clinical Research

by Chul Ahn, Moonseoung Heo, Song Zhang
December 2014
Intermediate to advanced content levelIntermediate to advanced
260 pages
8h 51m
English
Chapman and Hall/CRC
Content preview from Sample Size Calculations for Clustered and Longitudinal Outcomes in Clinical Research
2
Sample Size Determination for Clustered
Outcomes
2.1 Introduction
Clustered data frequently arise in many fields of applications. We frequently
make observations from multiple sites of each subject (called a cluster). For
example, observations from the same subject are correlated although those
from different subjects are independent. In periodontal studies that observe
each tooth, each patient usually contributes data from more than one tooth
to the studies. In this case, a patient corresponds to a cluster, and a tooth
corresponds to a site.
The degree of similarity or correlation is typically measured by intraclus-
ter correlation coefficient (ρ). If
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Publisher Resources

ISBN: 9781466556270