Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/4779
Title: | Modelling tooth emergence data based on multivariate interval-censored data | Authors: | BOGAERTS, Kris Leroy, R. LESAFFRE, Emmanuel Declerck, D. |
Issue Date: | 2002 | Publisher: | JOHN WILEY | Source: | Statistics in medicine, 21. p. 3775-3787 | 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. 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. | Document URI: | http://hdl.handle.net/1942/4779 | ISSN: | 0277-6715 | e-ISSN: | 1097-0258 | DOI: | 10.1002/sim.1393 | ISI #: | 000180039600003 | Category: | A1 | Type: | Journal Contribution |
Appears in Collections: | Research publications |
Show full item record
SCOPUSTM
Citations
21
checked on Sep 2, 2020
WEB OF SCIENCETM
Citations
19
checked on Oct 14, 2024
Page view(s)
76
checked on Jul 31, 2023
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.