Guy Brock

Professor

Biomedical Informatics

Guy Brock

Academic contact

Phone: 614-366-8504

Guy.Brock@osumc.edu

Academic information

  • Department: Biomedical Informatics

Research interests

  • Multistate Transition Models
  • Competing Risks
  • Statistical Bioinformatics
  • Cluster Validation
  • Data Integration
  • Missing Value Imputation

About

Biography

I am a Professor in the Department of Biomedical Informatics. I am the Associate Director of the Center for Biostatistics and currently leads the Biostatistics, Epidemiology, and Research Design (BERD) Core of the Center for Clinical and Translational Science Institute (CTSI) and is the Director of the Biostatistics Resource at Nationwide Children’s Hospital (BRANCH). Within the CTSI I have taken a leadership role in promoting and maintaining rigorous scientific conduct at OSU, which includes obtaining supplemental funding for a course devoted to rigor, reproducibility, design, and data analysis. My methodological research funded by the National Institutes of Health (NIH) includes multistate transition models, competing risks, and statistical bioinformatics (cluster validation, data integration, missing value imputation). I have collaborated extensively with clinical, basic, and population science investigators for the past 20 years including biostatistics oversight of NIH program project and multisite cooperative grants. More recently I have served as the lead biostatistician on multiple ongoing clinical trials, ranging from early phase studies to community-based pragmatic interventions incorporating both efficacy and implementation outcomes.

Credentials

Education

Postdoctoral
The University of Pittsburgh, Pittsburgh, PA, United States
PhD - Statistics
The University of New Mexico, Albuquerque, NM, United States
MS - Statistics
The University of New Mexico, Albuquerque, NM, United States
BA - Biochemistry
The University of Colorado, Colorado Springs, CO, United States

Research

Research interests

  • Multistate Transition Models
  • Competing Risks
  • Statistical Bioinformatics
  • Cluster Validation
  • Data Integration
  • Missing Value Imputation

More about my research