In the past 10 to 12 years, there have been several statistical issues
identified in periodontal research which require and have generated n
on-standard or new statistical approaches. The purpose of this paper i
s to give an overview of these issues and approaches. Three general ca
tegories of issues are described: (i) statistical methods for detectin
g when disease progression occurs, and biological theories and corresp
onding statistical models which attempt to describe how the disease pr
ogresses; (ii) design issues in studies of therapeutic efficacy; and (
iii) analytic issues arising from periodontal data analysis.