Statistical issues in periodontal research.
In the past 10 to 12 years, there have been several statistical issues identified in periodontal research which require and have generated non-standard or new statistical approaches. The purpose of this paper is to give an overview of these issues and approaches. Three general categories of issues are described: (i) statistical methods for detecting when disease progression occurs, and biological theories and corresponding statistical models which attempt to describe how the disease progresses; (ii) design issues in studies of therapeutic efficacy; and (iii) analytic issues arising from periodontal data analysis.
Department of Biostatistics, University of Washington, Seattle 98195-7475, USA.
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DeRouen
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Hujoel
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D002986:Clinical Trials as Topic / Q000379:methods; D003627:Data Interpretation, Statistical; D018865:Dental Research / Q000706:statistics & numerical data*; D018450:Disease Progression; D006801:Humans; D016013:Likelihood Functions; D015233:Models, Statistical; D010518:Periodontitis / Q000175:diagnosis / Q000473:pathology / Q000628:therapy; D012107:Research Design; D018401:Sample Size