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Related Experiment Videos

Using survival methodologies in demonstrating caries efficacy.

A Hannigan1

  • 1Department of Mathematics and Statistics, University of Limerick, Ireland. ailish.hannigan@ul.ie

Journal of Dental Research
|August 3, 2004
PubMed
Summary
This summary is machine-generated.

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This study proposes using survival analysis for dental caries clinical trials, analyzing tooth surfaces as individual units. This method offers easily interpretable results and may increase trial efficiency compared to traditional decayed, missing, or filled surfaces (DMFS) analysis.

Area of Science:

  • Dental research
  • Biostatistics
  • Clinical trial methodology

Background:

  • Traditional analysis of dental caries clinical trials using decayed, missing, or filled surfaces (DMFS) may overlook variations in tooth surfaces at risk.
  • Correlated intra-subject data in caries trials necessitates advanced statistical approaches for improved efficiency.

Purpose of the Study:

  • To investigate the utility of tooth surface as the unit of analysis in caries clinical trials.
  • To explore the application of clustered survival data analysis methods for dental caries research.
  • To compare the efficiency and interpretability of survival analysis with conventional DMFS-based analysis.

Main Methods:

  • Proposed using "survival time" for each tooth surface as the outcome measure.
  • Modeled caries clinical trial data as clustered survival data, accounting for correlated tooth surfaces within subjects.

Related Experiment Videos

  • Employed marginal models with robust variance estimators for analyzing clustered survival data.

    • Main Results:

    • Survival analysis yielded results comparable to conventional DMFS-based analysis.
    • Survival analysis provides easily interpretable results, such as comparing median survival times of tooth surfaces between different fluoride toothpaste groups.
    • Example: Median survival time for tooth surfaces was 1.07 times longer in females using 1500 ppm F toothpaste versus 1000 ppm F.

    Conclusions:

    • Survival analysis is a viable statistical method for dental caries clinical trials.
    • Further research is needed to determine if survival analysis offers greater sensitivity in identifying causative factors with smaller sample sizes.
    • This approach enhances the understanding of caries progression and intervention effects at a more granular level.