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Biostatistics and Informatics Resource Core (BIRC)



This Core, led by Jonathan Gelfond, MD, PhD, Maryam Y. Garza, PhD, MPH, MMCi, and Xiaojing Wang, PhD, will provide biostatistical and bioinformatics support and expertise, and centralized research information services to ensure ready access and superior data quality.

Specific Aims of the BIRC:

  1. Provide Pepper Center projects and investigators with access to comprehensive and cutting-edge informatics, information systems, and data management such as centralized volunteer registration, including social determinants of health (SDoH) and geocoding.
  2. Provide biostatistics and informatics support and expertise for the Pepper Center, including study design, reviews of ongoing trials within clinicaltrial.gov related to pilot studies, custom power analysis, protocol development and planning, EHR-based feasibility analysis, oversight for Bayesian and frequentist statistical analyses, trial dashboards, and collaboration with statistical and informatics methods.
  3. Create the next generation of Pepper Center data science-driven researchers through training in informatics and additional biostatistics expertise, didactics, and hands-on training in computational techniques and the diverse data sources needed for state-of-the-art aging research.
  4. Collaborate on developmental projects focused on data analytic aspects of translational geroscience.

CORE SERVICES
 
STUDY DESIGN

  • Feasibility and Power
  • Computing Power for Different Scenarios
  • Social Determinants of Health Geocoding
  • ClinicalTrials.gov Searches

 
INTEGRATIVE BIOINFORMATICS

  • Omics Data Analysis
  • Multi-omics Data Integration

 
CLINICAL INFORMATICS

  • Clinical Data Integration
  • Automated Data Tracking and Reporting

 
STATISTICAL ANALYSIS SUPPORT
 
STATISTICAL METHODS APPLIED TO MISSING DATA AND NONADHERENCE

  • Multiple Imputation
  • Sensitivity Analyses
  • Inverse probability weighting
  • Complier-average Causal Effect (CASE)

 
TRAINING AND EDUCATION

Core Leaders

Core Co-Leader: Xiaojing Wang, PhD