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Dental Caries Risk Studies Revisited: Causal Approaches Needed for Future Inquiries

Author

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  • Jolanta Aleksejūnienė

    (Department of Oral Health Sciences, Faculty of Dentistry, The University of British Columbia, 2199 Wesbrook Mall, Vancouver, BC, V6T 1Z3, Canada)

  • Dorthe Holst

    (Department of Community Dentistry, Faculty of Dentistry, University of Oslo, Blindern POB 1052, 0316 Oslo, Norway)

  • Vilma Brukienė

    (Institute of Odontology, Faculty of Medicine, Vilnius University, Žalgirio st. 115, Vilnius 08217, Lithuania)

Abstract

Prediction of high-risk individuals and the multi-risk approach are common inquiries in caries risk epidemiology. These studies prepared the ground for future studies; specific hypotheses about causal patterns can now be formulated and tested applying advanced statistical methods designed for causal studies, such as structural equation modeling, path analysis and multilevel modeling. Causal studies should employ measurements, analyses and interpretation of findings, which are in accordance to causal aims. Examples of causal empirical studies from medical and oral research are presented.

Suggested Citation

  • Jolanta Aleksejūnienė & Dorthe Holst & Vilma Brukienė, 2009. "Dental Caries Risk Studies Revisited: Causal Approaches Needed for Future Inquiries," IJERPH, MDPI, vol. 6(12), pages 1-18, November.
  • Handle: RePEc:gam:jijerp:v:6:y:2009:i:12:p:2992-3009:d:6366
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    References listed on IDEAS

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    1. Koopman, J.S. & Lynch, J.W., 1999. "Individual causal models and population system models in epidemiology," American Journal of Public Health, American Public Health Association, vol. 89(8), pages 1170-1174.
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    Cited by:

    1. Shinechimeg Dima & Kung-Jeng Wang & Kun-Huang Chen & Yung-Kai Huang & Wei-Jen Chang & Sheng-Yang Lee & Nai-Chia Teng, 2018. "Decision Tree Approach to the Impact of Parents’ Oral Health on Dental Caries Experience in Children: A Cross-Sectional Study," IJERPH, MDPI, vol. 15(4), pages 1-12, April.

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