Administrative & Electronic Health Research Data
Unit Lead
Holly Wilhalme, MS, brings over a decade of experience in biostatistics and data analytics to her role. She specializes in the design, integration, and analysis of administrative and electronic health record (EHR) datasets, facilitating data-driven insights across a wide-range of healthcare disciplines. As a Principal Statistician at DOMStat, Holly has led numerous high-impact projects including health outcomes research and clinical trials. Holly’s expertise includes predictive modeling, longitudinal data analysis, and leveraging advanced statistical methodologies to address challenges unique to observational healthcare data. Additionally, she works closely with the UCLA DataCore supporting data accessibility and collaboration across the Department of Medicine.
About
The Administrative & Electronic Health Research Data Unit specializes in leveraging large-scale administrative and electronic health record data to support every stage of the research process. Our team of skilled statisticians and programmers offers expertise in study design, data management, statistical analysis, and manuscript preparation. These rich datasets enable groundbreaking research into healthcare utilization, population health trends, clinical outcomes, and policy impacts at a large scale. With extensive experience addressing the unique opportunities and challenges of these complex datasets, we develop innovative analytical solutions to deliver impactful results advancing human health research.
Services
- Study design consultation
- Power and Sample Size Calculations
- Data Management and Statistics Sections
- Regulatory Guidance
- IRB, DUA and compliance requirements
- Database Creation
- Analytic Dataset Preparation
- Dataset Integration and Linkage
- Linking datasets across systems (e.g., EHR, administrative records and mortality data)
- Descriptive and Inferential Analysis
- Advanced Modeling
- Multilevel/hierarchical modeling for clustered or nested data
- Propensity score analysis for observational data
- Mixed-effects methods for repeated measures
- Predictive Analytics
- Visualization and Reporting
- Geospatial graphics
- Publication Support
- Abstract and Conference Submission
- Reviewer Response
Team
