Methodologic Core
Learn about FIRST-DailyLife's goals, services, and leadership that make up our methodologic core.
Goals
Our Methodologic Core's goals are to:
- Enhance methodologic training environment
- Provide methodologic, consultative, and collaborative capabilities regarding
- study design and data collection methods
- statistical science and analysis
- epidemiology
- behavioral science
- nutritional science
- implementation science/innovative study design
- economic evaluation/decision science
- genomics/bioinformatics
- clinical informatics
- data management
- Provide access to research databases
Services
Our Methodologic Core can provide input on aim development, study design, and data collection methods from a multidisciplinary group of scientist-methodologists. Learn more about our Methodologic Core's areas of expertise and services below.
Statistical science and analysis
- Statistical study design/sample size methodology
- Longitudinal data analysis
- Clinical trial design and analysis
- Secondary data analyses
- Hypothesis generating/exploratory analyses
- Microarray data analysis
Epidemiology
- Observational and clinical trial study designs
- Use of patient reported and other outcomes in rheumatology
- Registry development
- Access to large clinical and national datasets
- Application of geographic information system tools
Implementation research
- “Real world” measurements, modeling and testing of community and service delivery/health system interventions
Behavioral and nutritional sciences
- Modifiable chronic disease risk factor behavior intervention
- Behavioral theory/behavioral mechanism grounding for intervention development
- Modern research designs to optimize behavioral interventions
Economic evaluation/decision science
- Cost effectiveness analysis
- Cost utility analysis
- Cost analysis
- Budget impact analysis
- Design and analysis of “appropriateness” studies
Functional genomics
- Design and Analysis of RNA-seq or other functional genomic experiments
- Meta-analysis of existing/published genomic data sets
- Integrated analysis of genomic data with other data types (such as genetic/GWAS, proteomic, or clinical)
Clinical informatics/data management
- Data collection strategies
- Creation and maintenance of research data systems
- Extraction of data from the NM Electronic Data Warehouse, the integrated database of all clinical and research data from all patients receiving treatment through Northwestern healthcare affiliates
- Creation of databases amenable to geographic information systems analyses
Leadership
Associate Core Director
