The Biostatistics, Epidemiology, Econometrics and Programming (BEEP) Core’s goal is to serve the Center for Child Health, Behavior, and Development’s (CCHBD) technical needs in a cost-effective manner, especially in the areas of statistical analysis, data management, surveys, web development and graphic design. The CCHBD’s investigators and fellows are able to draw on this skilled talent pool for both small and large projects, after working with the BEEP core manager to develop estimates and timelines. Budgets are then invoiced for work hours completed, which is most often both a cost and efficiency savings over hiring staff on a percentage of FTE basis.
BEEP Core services are available to CCHBD members.
Skills and Resources Currently Available Within the BEEP Core
BEEP Core members, from left: Mon Myaing, Julie McGalliard, Cindy Larison, Michelle Garrison.
Statistical programming and analyses:
- Descriptive and bivariate statistics
- Regression models (linear, logistic, survival, GEE, etc.)
- Models for longitudinal, correlated, clustered, and repeated measures data
- Imputation
- Data cleaning, validity checking, creation of data dictionaries
- Data recoding, from simple to highly complex
- Generating reports, tables, and graphs for internal use, conferences, and papers
Survey design and implementation:
- Web-based surveys or data collection tools.
- Can have complex skip patterns, background calculations, generate in-survey feedback or reports, pipe in data from previous surveys and/or include multimedia.
- Multi-language surveys
- Automated participant emails to ensure best possible follow-up
Web development and graphic design:
- Graphic design of study or project logos
- Development and implementation of study websites, both static and dynamic
- Creation of web-based message forums
- SharePoint
- Pilot and usability testing
Software commonly used:
- Stata, with some use of R, SAS and SPSS
- Stat-Transfer
- Datstat Illume and Discovery
- Adobe products
Secondary data sources:
- Administrative data – i.e., PHIS, KID, CHARS, Medicaid, internal hospital data
- Large survey datasets, longitudinal and cross-sectional – i.e., ECLS, YRBS