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Coordinating, Developing, and Delivering Highway Transportation Innovations

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Publication Number:  FHWA-HRT-14-081    Date:  November 2014
Publication Number: FHWA-HRT-14-081
Date: November 2014


Enhancing Statistical Methodologies For Highway Safety Research – Impetus From FHWA


Table 1. Technical experts information.
Name/Education Affiliation Area of Expertise Category1
Amy Herring Sc.D.
Associate Chair and Professor, Biostatistics University of North Carolina Gillings School of Global Public Health
  • Biostatistics
  • Epidemiology
  • Longitudinal and multivariate data
  • Hierarchical models
  • Latent variables
  • Bayesian methods
Eric Laber
Ph.D. Statistics
Assistant Professor, Statistics North Carolina State University
  • Optimization of treatment regimes
  • Bootstrap methods
  • Empirical processes
Fan Li
Ph.D. Statistics
Assistant Professor, Statistical ScienceDuke University
  • Causal inference
  • Missing data imputation
  • Model selection
Matt Heaton
Ph.D. Statistics
Assistant Professor, StatisticsBrigham Young University
  • Spatial processes
  • Surveillance models
  • Monte Carlo methods
Bailey Fosdick
Ph.D. Statistics
Postdoctoral FellowStatistical and Applied Mathematical Sciences Institute, Research Triangle Park, NC Statistical Science, Duke University
  • Network models
Bani Mallick
Ph.D. Statistics
Distinguished Professor, Statistics Texas A&M University
  • Bayesian hierarchical modeling
  • Nonparametric regression and classification
  • Bioinformatics
  • Spatio-temporal modeling
  • Machine learning
  • Functional data analysis
  • Bayesian nonparametrics
Alan Karr
Ph.D. Applied Mathematics
Professor, Statistics University of North Carolina Director of the National Institute of Statistical Sciences
  • Statistical inference for stochastic processes
  • Agent-based models
David Banks
Ph.D. Statistics
Professor, Statistics Duke University
  • Data mining and statistical modeling
  • Risk analysis
Ward Vanlaar
Vice President of ResearchTraffic Injury ResearchFoundation, Ottawa
  • Multilevel modeling
  • Meta-analysis
  • Time series analysis
  • Survival analysis
  • Logistic regression
  • Multidimensional scaling

1 Category 1 includes experts with no experience in road safety data analysis who have related expertise in some sort of treatment/program evaluation that requires the statistical analysis/modeling of time series and/or cross-sectional data. Category 2 includes experts in Transportation Engineering and/or Statistics with extensive seminal research in statistical analysis of crash data but who have not been involved directly in CMF or SPF development. Category 3 includes experts who have worked in road safety evaluations related to driver and enforcement programs.



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