title: Use of the generalised linear model with Poisson distribution to compare caries indices.
abstract: In dental epidemiological studies, an analysis of variance assuming a normal distribution is commonly used to compare caries indices, which are often not normally distributed. As these indices represent discontinuous data, it would be preferable to use the negative binomial or the Poisson distribution. In this study, in order to compare the DMFS indices of adults working in the confectionery manufacturing industry in France, the results of the generalised linear model obtained using the normal and the Poisson distribution with identity or log built-in link function were compared. The negative binomial distribution was not used because it is very often unavailable in the most used statistical software. Analysis of the caries indices showed that the use of the normal distribution could lead to an incorrect interpretation of the data. Therefore it is concluded that the generalised linear model with Poisson distribution and over dispersion is to be preferred when comparing caries levels.
authors.affiliation: Laboratoire d'Epidemiologie et de Santé Publique en Médecine et Odontologie, Faculté de Chirurgie-Dentaire, Strasbourg, France.
authors.forename: V
authors.initials: V
authors.lastname: Fabien
authors.forename: A M
authors.initials: AM
authors.lastname: Obry-Musset
authors.forename: G
authors.initials: G
authors.lastname: Hedelin
authors.forename: P M
authors.initials: PM
authors.lastname: Cahen
mesh_terms: D000328:Adult; D002182:Candy; D004245:DMF Index; D003731:Dental Caries / Q000453:epidemiology*; D005602:France / Q000453:epidemiology; D006801:Humans; D016014:Linear Models; D008875:Middle Aged; D016011:Normal Distribution; D009784:Occupational Diseases / Q000453:epidemiology; D016273:Occupational Exposure / Q000706:statistics & numerical data; D016012:Poisson Distribution