Identifying heterogeneity in the risk factors of dental caries status in Chinese adolescents using Poisson mixture regression.

ABSTRACT:

Objective

The purpose of this study was to cluster individuals into groups with different dental health characteristics and make statistical inferences on the effect differences among different groups simultaneously to identify the heterogeneity of risk factors in Chinese adolescents by analysing the data from the 4th Chinese National Oral Health Survey.

Methods

For decayed, missing and filled permanent teeth (DMFT), mean values were statistically analysed for their relationships with different categories of all involved variables. As DMFT scores only have discrete values, Poisson mixture regression was adopted to model the heterogeneity and complex patterns in the association and to detect the subgroup. The Bayesian information criterion (BIC) was used to determine the opti

SUBMITTER: Yuan C 

PROVIDER: S-EPMC7592291 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature