Literature DB >> 12483766

Modelling tooth emergence data based on multivariate interval-censored data.

K Bogaerts1, R Leroy, E Lesaffre, D Declerck.   

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. Copyright 2002 John Wiley & Sons, Ltd.

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Year:  2002        PMID: 12483766     DOI: 10.1002/sim.1393

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  1 in total

1.  Bayesian latent variable models for spatially correlated tooth-level binary data in caries research.

Authors:  Y Zhang; D Todem; K Kim; E Lesaffre
Journal:  Stat Modelling       Date:  2011-02       Impact factor: 2.039

  1 in total

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