Dental caries analysis in 3-5 years old children: A spatial modelling

Archives of Oral Biology

Volumn 55, Issue 5, 2010, Pages 374-378

  Afroughi, Solaiman ^a   Faghihzadeh, Soghrat ^a   Khaledi, Majid Jafari ^a   Motlagh, Mehdi Ghandehari ^b  

^a TARBIAT MODARES UNIVERSITY   (Iran)

^b TEHRAN UNIVERSITY OF MEDICAL SCIENCES   (Iran)

Author keywords

Autologistic model; Dental caries; Spatial lattice; Spatial modelling; Tooth

Indexed keywords

ARTICLE; BAYES THEOREM; CROSS-SECTIONAL STUDY; DENTAL CARIES; DENTITION; HUMAN; IRAN; PATHOLOGY; PRESCHOOL CHILD; PROBABILITY; RISK FACTOR; STATISTICAL MODEL;

BAYES THEOREM; CHILD, PRESCHOOL; CROSS-SECTIONAL STUDIES; DENTAL CARIES; DENTITION, PRIMARY; HUMANS; IRAN; LOGISTIC MODELS; MARKOV CHAINS; RISK FACTORS;

EID: 77950863456     PISSN: 00039969     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.archoralbio.2010.03.008     Document Type: Article

References (33)

1. Aleksejuniene J., Arneberge P., and Eriksen H.M. Caries prevalence and oral hygiene in Lithuanian children and adolescents. Acta Odontologica Scandinavica 54 (1996) 75-80
2. Selwitz R.H., Ismail A., and Pitts N.B. Dental caries. Lancet 36 (2007) 51-59
3. Jokelaj P.K. Clinical outcomes of risk-based caries prevention in pre-school-aged children. Community Dentistry and Oral Epidemiology 30 (2002) 143-150
4. Bastos D.S.R., Olympio K.P.K., Bcjella V.T., Buzalaf M.A.R., and Bastos J.R. Trends in dental caries prevalence in 12-years-old schoolchildren between 1976 and 2001. Public Health 119 (2005) 269-275
5. Peres M.A., and De Oliveira L.M.R. Social and biological early life influences on severity of dental caries in children aged 6 years. Community Dent Oral Epidemiol 33 1 (2005) 53-63
6. Vanobbergen J., Martens L., Lesaffre E., Bogaerts K., and Declerck D. Assessing risk indicators for dental caries in the primary dentition. Community Dentistry and Oral Epidemiology 29 (2001) 424-434
7. Vanobbergen J., Martens L., Lesaffre E., and Declerck D. The Signal-Tandmobiel project, a longitudinal intervention health promotion study in Flanders (Belgium): baseline and first year results. European Journal of Paediatric Dentistry 2 (2000) 87-96
8. Vanobbergen J., Lesaffre E., Garcia-Zattera M.J., Jara A., and Martens L. Caries patterns in primary dentition in 3-5- and 7-years-old children: spatial correlation and preventive consequences. Caries Research 41 (2007) 16-25
9. Antunes J.L.F., Junqueira S.R., Frazao P., Bispo C.M., Pegoretti T., and Narvai P.C. City-level gender differentials in the prevalence of dental caries and restorative dental treatment. Health and Place 9 (2003) 231-239
10. Aida J., Ando Y., Aoyama H., Tango T., and Morita M. An ecological study on the association of public dental health activities and socio demographic characteristics with caries prevalence in Japanese 3-years-old children. Caries Research 40 (2006) 466-472
11. Pstoer W.J., Zhang H., Pendrys D.G., Morse D.E., and Mayne S.T. Classification of dental caries patterns in the primary dentition: a multidimensional scaling analysis. Community Dentistry and Oral Epidemiology 31 (2003) 231-238
12. Ananth C.V., and Kantor M.L. Modeling multivariate binary responses with multiple levels of nesting based on alternating logistic regressions: an application to caries aggregation. Journal of Dental Research 83 10 (2004) 776-7810
13. Jamieson L.M. Oral health inequalities among indigenous and nonindigenous children in the northern territory of Australia. Community Dentistry and Oral Epidemiology 34 (2006) 267-276
14. Garcia-Zattera M.J., Jara A., and Lesaffre E. Conditional independence of multivariate binary data with an application in caries research. Computational Statistics and Data Analysis 51 (2007) 3234-3993
15. Kichberg A., Treide A., and Hemprich A. Investigation of caries prevalence in children with cleft lip, alveolus and palate. Journal of Cranio-Maxilloficial Surgery 32 (2004) 216-219
16. Cressie N. Statistics for spatial data (1993), John Wiley, New York
17. Hujoel P.P., Lamomt R.J., Derouen T.A., Davis S., and Leroux B.G. Within- subject coronal caries distribution patterns: an evaluation of randomness with respect to the midline. Dental Research 73 9 (1994) 1575-1580
18. Besag J. Spatial interaction and the statistical analysis of lattice system. Journal of the Royal Statistical Society 2 (1974) 192-236
19. Besag J. Statistical analysis of non-lattice data. The Statistician 3 (1975) 179-195
20. Besag J. Nearest-neighbor systems and the autologistic model for binary data. Journal of the Royal Statistical Society, Series B 34 1 (1972) 75-83
21. th ed. (2004), Mosby, New York
22. Wall M.M., and Liu X. Spatial latent class analysis model for spatially distributed multivariate binary data. Computational Statistics and Data Analysis 53 (2009) 3057-3069
23. Wu H., and Huffer F.W. Modeling the distribution of plant species using the autologistic regression model. Environmental and Ecological Statistics 4 (1997) 49-64
24. Heikkinen J., and Hogmander H. Fully Bayesian approach to image restoration with an application in biogeography. Applied Statistics 43 4 (1994) 569-582
25. Huffer F.W., and Wu H. Markov chain Monte Carlo for autologistic regression models with application to the distribution of plant species. Biometrics 54 2 (1998) 509-524
26. Robert C.P., and Casella G. Monte Carlo statistical methods (2004), Springer, New York
27. Albert J., and Chib S. Bayesian analysis of binary and polychotomous responses data. Journal of the American Statistical Association 422 (1993) 669-679
28. Albert J. Bayesian computation with R (2007), Springer, New York
29. Ward Eric J. A review and comparison of four commonly used Bayesian and maximum likelihood model selection tools. Ecological Modeling 211 (2008) 1-10
30. Liu Charles C., and Aitkin M. Bayes factors: prior sensitivity and model generalizability. Journal of Mathematical Psychology 52 (2008) 362-375
31. Kirkham J., Kaur R., Stillman E.C., Blackwell P.G., Elcock C., and Brook A.H. The patterning of hypodontia in a group of young adults in Sheffield, UK. Archives of Oral Biology 50 (2005) 287-291
32. Krainski E.T., Ribeiro J.P.J., Bassanezi R.B., and Franciscon L. Autologistic model with application to the citrus "sudden death" disease. Scientia Agricola 65 5 (2008) 541-547
33. Bee M., Benedetti R., and Espa G. Spatial models for flood risk assessment. Environmetrics 19 (2008) 725-741