Efficiency issues among statistical methods for demonstrating efficacy of caries prevention.
Although repeated tooth-surface-specific information is commonly collected during a longitudinal caries clinical trial, traditional methods often make limited use of the repeated measures. Newer methods of analysis, such as methods based on time-to-event and methods for longitudinal or clustered data, have the potential to increase the efficiency of the statistical analysis. We compare a range of analytical methods from the traditional analysis based only on the number of caries onsets to newer methods that incorporate time at risk and surface-specific information, such as Poisson regression methods for clustered data, with respect to the efficiency of treatment comparisons. Under most circumstances, the greatest gain in efficiency associated with time-to-event methods will be due to the ability of subjects to contribute caries onsets to the analysis until they are lost from the study. Incorporating the number of surfaces at risk, the surface time at risk, and surface-specific characteristics will typically produce only a modest gain in efficiency.
Department of Dental Public Health Sciences, University of Washington, Seattle 98195-7475, USA. llman@u.washington.edu
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D002986:Clinical Trials as Topic; D016000:Cluster Analysis; D003731:Dental Caries / Q000517:prevention & control*; D003733:Dental Caries Susceptibility; D004526:Efficiency; D006801:Humans; D008137:Longitudinal Studies; D015233:Models, Statistical; D016012:Poisson Distribution; D012044:Regression Analysis; D018570:Risk Assessment / Q000706:statistics & numerical data; D016019:Survival Analysis; D013997:Time Factors; D016896:Treatment Outcome