Archives of Oral Biology
Volume 55, Issue 5 , Pages 374-378 , May 2010

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

  • Solaiman Afroughi

      Affiliations

    • Biostatistics, Tarbiat Modares University, Tehran, Iran
    • ,
  • Soghrat Faghihzadeh

      Affiliations

    • Department of Biostatistics, Medical Sciences Faculty, Tarbiat Modares University, Jalale Ale Ahmad Highway, Tehran, Iran
    • Corresponding Author InformationCorresponding author. Tel.: +98 21 22210695; fax: +98 21 82884555.
    • ,
  • Majid Jafari Khaledi

      Affiliations

    • Department of Statistics, Faculty of Mathematical Sciences, Tarbiat Modares University, Tehran, Iran
    • ,
  • Mehdi Ghandehari Motlagh

      Affiliations

    • Department of Pediatric Dentistry, Tehran University of Medical Sciences, Tehran, Iran

,Accepted 1 March 2010.

References 

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

PII: S0003-9969(10)00059-2

doi: 10.1016/j.archoralbio.2010.03.008

Archives of Oral Biology
Volume 55, Issue 5 , Pages 374-378 , May 2010

Article Tools

* Image Usage & Resolution