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Concise Review: Statistical Issues in Periodontal Research

T.A. DeRouen

Department of Biostatistics, University of Washington, Box 357475, Seattle, Washington 98195-7475, Department of Dental Public Health Sciences, University of Washington, Box 357475, Seattle, Washington 98195-7475

P.P. Hujoel

Department of Dental Public Health Sciences, University of Washington, Box 357475, Seattle, Washington 98195-7475

L.A. Mancl

Department of Dental Public Health Sciences, University of Washington, Box 357475, Seattle, Washington 98195-7475

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.

Key Words: statistical methods • biostatistics • periodontitis • study design • correlated data • GEE

Journal of Dental Research, Vol. 74, No. 11, 1731-1737 (1995)
DOI: 10.1177/00220345950740110301
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