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Evaluation of statistical methods for monitoring periodontal disease
Author(s) -
Yang Mark C. K.,
Marks Ronald G.,
Clark William B.,
Magnusson Ingvar
Publication year - 1991
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/sim.4780100709
Subject(s) - periodontal disease , computer science , statistics , medicine , dentistry , mathematics
Three methods for detecting the progression of periodontal disease based on the change in attachment level on teeth are compared from a statistical point of view. Regardless of gradual or burst disease progression theories, the regression method is found to be the most efficient way to detect changes. The exact false alarm rate is computed when the decision is based on the maximum regression coefficient at all sites during several visits.