Premium
Statistical models for data from periodontal research
Author(s) -
Sterne J. A. C.,
Curtis M. A.,
Gillett I. R.,
Griffiths G. S.,
Maiden M. F. J.,
Wilton J. M. A.,
Johnson N. W.
Publication year - 1990
Publication title -
journal of clinical periodontology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.456
H-Index - 151
eISSN - 1600-051X
pISSN - 0303-6979
DOI - 10.1111/j.1600-051x.1990.tb01076.x
Subject(s) - periodontal disease , dentistry , medicine , computer science
Many factors have been hypothesised either to characterise groups and individuals at risk for periodontal disease or to be markers of periodontal breakdown. In order to identify these as associated either with disease status or progression, a statistical association between the factor and a measure of disease will have to be demonstrated. The statistical modelling of data arising from periodontal research presents special problems. These include the large number of measurements made in each subject, the large magnitude of measurement error compared to the changes in attachment level, the analysis of longitudinal studies, the lack of a measure of instantaneous rate of attachment loss and controversies over the nature of the progression of the disease. We consider statistical methods currently available in the light of these difficulties and identify areas in which further research is necessary.