The clustering effects of surfaces within the tooth and teeth within individuals

The clustering effects of surfaces within the tooth and teeth within individuals

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The objectives of this study were 1) to provide an estimate of the value of the intraclass correlation coefficient (ICC) for dental caries data at tooth and surface level, 2) to provide an estimate of the design effect (DE) to be used in the determination of sample size estimates for future dental s...

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Bibliographic Details
Main Authors: Masood, M. (Author), Masood, Y. (Author), Newton, J.T (Author)
Format: Article
Language:English
Published: SAGE Publications Inc. 2015
Subjects:
adult
Adult
algorithm
Algorithms
caries
cluster analysis
Cluster Analysis
comparative study
Cross-Sectional Studies
cross-sectional study
dental caries
Dental Caries
Dental Health Surveys
dental public health
design effect (DE)
Great Britain
health survey
human
Humans
intra-class correlation coefficient (ICC)
Logistic Models
methodology
Models, Statistical
multilevel analysis
Multilevel Analysis
multilevel modeling
pathology
Research Design
sample size
Sample Size
statistical model
statistics
statistics and numerical data
tooth
Tooth
United Kingdom
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