Assessing risk factors for dental caries: a statistical modeling approach

Caries Research
Mario TrottiniAntonella Polimeni

Abstract

The problem of identifying potential determinants and predictors of dental caries is of key importance in caries research and it has received considerable attention in the scientific literature. From the methodological side, a broad range of statistical models is currently available to analyze dental caries indices (DMFT, dmfs, etc.). These models have been applied in several studies to investigate the impact of different risk factors on the cumulative severity of dental caries experience. However, in most of the cases (i) these studies focus on a very specific subset of risk factors; and (ii) in the statistical modeling only few candidate models are considered and model selection is at best only marginally addressed. As a result, our understanding of the robustness of the statistical inferences with respect to the choice of the model is very limited; the richness of the set of statistical models available for analysis in only marginally exploited; and inferences could be biased due the omission of potentially important confounding variables in the model's specification. In this paper we argue that these limitations can be overcome considering a general class of candidate models and carefully exploring the model space using sta...Continue Reading

Citations

Nov 29, 2017·International Journal of Dentistry·Gianluca GambariniLuca Testarelli
Oct 5, 2020·International Journal of Paediatric Dentistry·Valeria LuzziAntonella Polimeni
Aug 17, 2021·Frontiers in Public Health·Aneta OlszewskaAgata Czajka-Jakubowska

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