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.