Literature DB >> 15151688

The utility of the zero-inflated Poisson and zero-inflated negative binomial models: a case study of cross-sectional and longitudinal DMF data examining the effect of socio-economic status.

J D Lewsey1, W M Thomson.   

Abstract

OBJECTIVES: To examine the utility of the zero-inflated Poisson (ZIP) and zero-inflated negative binomial (ZINB) modelling approaches for modelling four sets of dental caries data from the same cohort study [with particular attention to the influence of childhood socioeconomic status (SES)]: cross-sectional data on the deciduous dentition at age 5 years; cross-sectional data on the permanent dentition at age 18 and 26 years; and longitudinal data on caries increment between ages 18 and 26 years.
METHODS: Data on dental caries occurrence at ages 5, 18 and 26 years were obtained from the Dunedin Multidisciplinary Health and Development Study (DMHDS). ZIP and ZINB models were fitted to the cross-sectional (n = 745) and longitudinal (n = 809) data sets using Stata (Intercooled Stata 7.0). The dependent variables for the three cross-sectional analyses were the DMFS indices at age 5, 18, and 26 years, and net DFS increment (NETDFS) was the dependent variable for the longitudinal analysis.
RESULTS: The empty ZIP model was a poor fit for all four data sets, whereas the empty ZINB model showed good fit; consequently both the cross-sectional and longitudinal analyses were conducted using ZINB modelling. Being in the high-SES group during childhood was associated with a greater probability of being caries-free by age 18 years, over and above that which would be expected from the negative binomial process. Low childhood SES also had the largest coefficient in the modelling of the negative binomial process, but at age 5 years, where the adjusted mean dmfs score in the low-SES group was 6.8 (compared with 4.7 and 2.9 in the medium- and high-SES groups, respectively). The substantial SES differences which existed at age 5 years (in the deciduous dentition) had reduced somewhat by age 18 years, and had widened again by age 26 years. In the longitudinal analysis, "baseline" caries experience (age 18-year DMFS) was a predictor both of being an extra zero and of caries severity.
CONCLUSION: This investigation of the utility of the zero-inflated approach for modelling both cross-sectional and longitudinal caries data has shown that ZIP/ZINB models can provide new insight into disease patterns. It is anticipated that they will become increasingly useful in epidemiological studies that use the DMF index as the outcome measure. Copyright Blackwell Munksgaard, 2004

Entities:  

Mesh:

Year:  2004        PMID: 15151688     DOI: 10.1111/j.1600-0528.2004.00155.x

Source DB:  PubMed          Journal:  Community Dent Oral Epidemiol        ISSN: 0301-5661            Impact factor:   3.383


  28 in total

1.  Dental caries and enamel defects in very low birth weight adolescents.

Authors:  S Nelson; J M Albert; G Lombardi; S Wishnek; G Asaad; H L Kirchner; L T Singer
Journal:  Caries Res       Date:  2010-10-26       Impact factor: 4.056

2.  One-year outcomes of a drug abuse prevention program for older teens and emerging adults: evaluating a motivational interviewing booster component.

Authors:  Steve Sussman; Ping Sun; Louise A Rohrbach; Donna Spruijt-Metz
Journal:  Health Psychol       Date:  2011-10-10       Impact factor: 4.267

3.  On the efficiency of score tests for homogeneity in two-component parametric models for discrete data.

Authors:  David Todem; Wei-Wen Hsu; KyungMann Kim
Journal:  Biometrics       Date:  2012-02-20       Impact factor: 2.571

4.  Matching the Statistical Model to the Research Question for Dental Caries Indices with Many Zero Counts.

Authors:  John S Preisser; D Leann Long; John W Stamm
Journal:  Caries Res       Date:  2017-03-15       Impact factor: 4.056

5.  Marginal mean models for zero-inflated count data.

Authors:  David Todem; KyungMann Kim; Wei-Wen Hsu
Journal:  Biometrics       Date:  2016-02-17       Impact factor: 2.571

6.  A score-type test for heterogeneity in zero-inflated models in a stratified population.

Authors:  Guanqun Cao; Wei-Wen Hsu; David Todem
Journal:  Stat Med       Date:  2014-02-02       Impact factor: 2.373

Review 7.  Review and recommendations for zero-inflated count regression modeling of dental caries indices in epidemiological studies.

Authors:  J S Preisser; J W Stamm; D L Long; M E Kincade
Journal:  Caries Res       Date:  2012-06-15       Impact factor: 4.056

8.  Analysis of overdispersed count data: application to the Human Papillomavirus Infection in Men (HIM) Study.

Authors:  J-H Lee; G Han; W J Fulp; A R Giuliano
Journal:  Epidemiol Infect       Date:  2011-08-30       Impact factor: 2.451

9.  A quasi-score statistic for homogeneity testing against covariate-varying heterogeneity.

Authors:  David Todem; Wei-Wen Hsu; Jason P Fine
Journal:  Scand Stat Theory Appl       Date:  2017-12-14       Impact factor: 1.396

10.  Trajectory patterns of dental caries experience in the permanent dentition to the fourth decade of life.

Authors:  J M Broadbent; W M Thomson; R Poulton
Journal:  J Dent Res       Date:  2008-01       Impact factor: 6.116

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.