Please use this identifier to cite or link to this item:
Title: Dealing with misclassification and missing data when estimating prevalence and incidence of caries experience
Authors: Mutsvari, Timothy
Garcia-Zattera, Maria J.
Declerck, Dominique
LESAFFRE, Emmanuel 
Issue Date: 2012
Source: COMMUNITY DENTISTRY AND ORAL EPIDEMIOLOGY, 40 (Supplement 1), p. 28-35
Abstract: Objectives: The aim of this research was to estimate the prevalence and incidence of caries experience (CE) in first permanent molars while dealing with misclassification and missing of data. Methods: CE was modeled as a Hidden Markov Model in which the response variable is subject to misclassification and missingness. The proposed analysis extends that of Garcia-Zattera et al. (Stat Med 2010; 29: 3103) by allowing for various patterns of missing data. Findings were illustrated using data from the Signal Tandmobiel (R) study that is a longitudinal oral health intervention study. Results: Differences in the parameter estimates were noted between models that take into account misclassification and missing data and those that do not. Unbiased parameter estimates of prevalence and incidence were obtained without the use of validation data. Models that include subjects with missing data have smaller standard deviations than models that do not. Conclusions: It is important to account for misclassification to obtain less biased estimates of prevalence and incidence. For a proper estimation of prevalence and incidence in a longitudinal study subject to misclassification, validation data are not needed but when internal they can increase the efficiency in estimating the model. Also, including subjects with missing data increases the efficiency of estimating the parameters.
Notes: [Mutsvari, Timothy; Lesaffre, Emmanuel] Katholieke Univ Leuven, Louvain, Belgium. [Declerck, Dominique; Lesaffre, Emmanuel] Katholieke Univ Leuven, Dept Oral Hlth Sci, Louvain, Belgium. [Mutsvari, Timothy; Lesaffre, Emmanuel] Hasselt Univ, Diepenbeek, Belgium. [Garcia-Zattera, Maria J.] Pontificia Univ Catolica Chile, Dept Stat & Measurement, Ctr MIDE UC, Santiago, Chile. [Lesaffre, Emmanuel] Erasmus MC, Dept Biostat, Rotterdam, Netherlands.
Keywords: Dentistry, Oral Surgery & Medicine; Public, Environmental & Occupational Health;hidden Markov model; incidence; monotone
Document URI:
ISSN: 0301-5661
e-ISSN: 1600-0528
DOI: 10.1111/j.1600-0528.2011.00663.x
ISI #: 000300768600005
Category: A1
Type: Journal Contribution
Validations: ecoom 2013
Appears in Collections:Research publications

Files in This Item:
File Description SizeFormat 
mutsvari 1.pdf
  Restricted Access
published version130.2 kBAdobe PDFView/Open    Request a copy
Show full item record


checked on Sep 3, 2020


checked on May 13, 2022

Page view(s)

checked on May 15, 2022


checked on May 15, 2022

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.