Title: Modelling tooth emergence data based on multivariate interval-censored data
Authors: Bogaerts, Kris ×
Leroy, Roos
Lesaffre, Emmanuel
Declerck, Dominique #
Issue Date: Dec-2002
Series Title: Statistics in medicine vol:21 issue:24 pages:3775-87
Abstract: Studies on emergence of (permanent) teeth are published regularly in the dental literature. Besides descriptive statistics (mean or median values) on emergence times, comparisons between boys and girls are of interest. Gender comparisons are intersubject analyses, but also intrasubject questions, like 'Is there a left-right symmetry with respect to the mean (median) emergence times?' are of interest. Studies on emergence times most often are faced with interval-censored data. We will extend a GEE-type test proposed by Huster et al. for bivariate right-censored data to the multivariate setting with interval-censored data. Central to our paper is to provide appropriate statistical models to resolve some dental questions on emergence. The analyses are based on data from the longitudinal Signal-Tandmobiel study.
ISSN: 0277-6715
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Leuven Biostatistics and Statistical Bioinformatics Centre (L-BioStat)
Biomaterials - BIOMAT
Department of Oral Health Sciences - miscellaneous
× corresponding author
# (joint) last author

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