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http://hdl.handle.net/1942/13512
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DC Field | Value | Language |
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dc.contributor.author | Mutsvari, Timothy | - |
dc.contributor.author | Garcia-Zattera, Maria J. | - |
dc.contributor.author | Declerck, Dominique | - |
dc.contributor.author | LESAFFRE, Emmanuel | - |
dc.date.accessioned | 2012-03-30T11:58:23Z | - |
dc.date.available | 2012-03-30T11:58:23Z | - |
dc.date.issued | 2012 | - |
dc.identifier.citation | COMMUNITY DENTISTRY AND ORAL EPIDEMIOLOGY, 40 (Supplement 1), p. 28-35 | - |
dc.identifier.issn | 0301-5661 | - |
dc.identifier.uri | http://hdl.handle.net/1942/13512 | - |
dc.description.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. | - |
dc.description.sponsorship | This investigation was supported by Research Grant OT/05/60, Katholieke Universiteit Leuven; data collection was supported by Unilever, Belgium. The Signal Tandmobiel (R) project has the following partners: Dominique Declerck (Department of Oral Health Sciences, KU Leuven), Luc Martens (Dental School, University Ghent), Jacques Vanobbergen (Dental School, University Ghent), Peter Bottenberg (Dental School, University Brussels), Emmanuel Lesaffre (Department of Biostatistics, Erasmus Medical Center, Rotterdam, The Netherlands and L-Biostat, Katholieke Universiteit Leuven, Leuven, Belgium), and Karel Hoppenbrouwers (Youth Health Department, Katholieke Universiteit Leuven; Flemish Association for Youth Health Care). Maria J. Garcia-Zattera's work was supported by FONDECYT 11110033 grant. | - |
dc.language.iso | en | - |
dc.publisher | WILEY-BLACKWELL | - |
dc.subject.other | Dentistry, Oral Surgery & Medicine; Public, Environmental & Occupational Health | - |
dc.subject.other | hidden Markov model; incidence; monotone | - |
dc.title | Dealing with misclassification and missing data when estimating prevalence and incidence of caries experience | - |
dc.type | Journal Contribution | - |
dc.identifier.epage | 35 | - |
dc.identifier.issue | Supplement 1 | - |
dc.identifier.spage | 28 | - |
dc.identifier.volume | 40 | - |
local.format.pages | 8 | - |
local.bibliographicCitation.jcat | A1 | - |
dc.description.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. emmanuel.lesaffre@med.kuleuven.be | - |
local.publisher.place | MALDEN | - |
local.type.refereed | Refereed | - |
local.type.specified | Article | - |
dc.bibliographicCitation.oldjcat | A1 | - |
dc.identifier.doi | 10.1111/j.1600-0528.2011.00663.x | - |
dc.identifier.isi | 000300768600005 | - |
item.fullcitation | Mutsvari, Timothy; Garcia-Zattera, Maria J.; Declerck, Dominique & LESAFFRE, Emmanuel (2012) Dealing with misclassification and missing data when estimating prevalence and incidence of caries experience. In: COMMUNITY DENTISTRY AND ORAL EPIDEMIOLOGY, 40 (Supplement 1), p. 28-35. | - |
item.fulltext | With Fulltext | - |
item.validation | ecoom 2013 | - |
item.contributor | Mutsvari, Timothy | - |
item.contributor | Garcia-Zattera, Maria J. | - |
item.contributor | Declerck, Dominique | - |
item.contributor | LESAFFRE, Emmanuel | - |
item.accessRights | Restricted Access | - |
crisitem.journal.issn | 0301-5661 | - |
crisitem.journal.eissn | 1600-0528 | - |
Appears in Collections: | Research publications |
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File | Description | Size | Format | |
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mutsvari 1.pdf Restricted Access | Published version | 130.2 kB | Adobe PDF | View/Open Request a copy |
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