A regression model analysis of longitudinal dental caries data

M. L. Ringelberg, J. A. Tonascia

Research output: Contribution to journalArticlepeer-review


ABSTRACT Longitudinal data on caries experience were derived from the reexamination and interview of a cohort of 306 subjects with an average follow‐up period of 33 years after the baseline examination. Analysis of the data was accomplished by the use of contingency tables utilizing enumeration statistics compared with a multiple regression analysis. The analyses indicated a strong association of caries experience at one point in time with the caries experience of that same person earlier in life. The regression model approach offers adjustment of any given independent variable for the effect of all other independent variables, providing a powerful means of bias reduction. The model is also useful in separating out the specific effect of an independent variable over and above the contribution of other variables. The model used explained 35% of the variability in the DMFS scores recorded. Similar models could be useful adjuncts in the analyses of dental epidemiologic data.

Original languageEnglish (US)
Pages (from-to)70-76
Number of pages7
JournalCommunity Dentistry and Oral Epidemiology
Issue number2
StatePublished - Apr 1976


  • dental caries
  • epidemiology, oral

ASJC Scopus subject areas

  • Dentistry(all)
  • Public Health, Environmental and Occupational Health


Dive into the research topics of 'A regression model analysis of longitudinal dental caries data'. Together they form a unique fingerprint.

Cite this