Biostatistics in Dental Research

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Biostatistics in Dental Research

• John S. Preisser
• Department of Biostatistics,
• School of Public Health
• University of North Carolina

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My Research Interests

• Categorical Data
• Clustered Data
• Longitudinal Data
• Missing Data
• Regression Diagnostics

• Cluster Trials
• Epidemiology
• Health Services
• Oral Health

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Funded Biostatistical Methods 1. Estimating
Association of Clustered Ordinal Data

• 1-R03-DE017907, NIDCR. PI Preisser
• (funding period 7/1/07 to 6/30/09)
• Secondary data analysis of orthgnathic surgery
  clinical trial to assess sensory re-training
  exercises
• Propose new statistical methods including
  bias-corrected methods to estimating equations
  and variance estimators for improving the
  performance of alternating logistic regressions
  in finite samples.

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2. Estimating of Association for Multivariate
Binary Data

• R01 CA101901, NCI. PI Qaqish
• (funding period 2005-2008)
• Preisser, Perin. Deletion diagnostics for
  marginal mean and correlation model parameters
  in estimating equations. Stat Computing 2007
  17381-393.
• Preisser, Qaqish, Perin. A note on deletion
  diagnostics for estimating equations.
  Biometrika (in press).

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Biostatistics in Practice Prevention of Dental
Caries in Early Head Start Children

• R01 submitted by Gary Rozier (PI) 7th
• A nonrandomized cluster trial to evaluate an
  intervention to prevent early childhood caries in
  children 0-2 years through a combination of
  preventive dental activities in medical offices
  and EHS centers.
• Biostatistical Contribution to Sampling Design

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Biostatistics Supports UNC Dental School Research

• Biostatistics contributes to
• Oral Epidemiology
• Biological Mechanisms of Periodontal Disease
• Dental materials
• Dental Research encompasses laboratory
• science, clinical trials, epidemiology,
• genomics, health services research, etc!

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Biostatistics in Dental Literature

• Kim, Preisser, Rozier, et al. Multi-level
  analysis of group-
• randomized trials with binary outcomes.
  Commun Dent.
• Oral Epidemiol. 2006, 34241-51
• Phillips, Preisser, White et al. Prediction of
  periodontal
• pathology around third molars using
  linear mixed effects
• modeling. Community Dental Health (in
  press).
• Beck, Caplan, Preisser, Moss. Reducing the Bias
  of
• Probing Depth and Attachment level
  estimates using
• random partial mouth recording. Community
  Dentistry
• and Oral Epidemiol. 2006,341-10.

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Biostatistics Critical Role and My Research
Trajectory

• My research goals are to support the application
  of state-of
• art biostatistical methods in the design,
  conduct, and analysis
• of dental research studies and to advocate for
  the sound
• use of biostatistical methods in dental research
  through the
• development of new statistical methods and the
  explication
• of existing statistical approaches in the dental
  and
• biostatistical peer-reviewed scientific
  literature.