Tufts CTSI/Biostatistics, Epidemiology, and Research Design (BERD) Center
The Tufts CTSI/Biostatistics, Epidemiology, and Research Design (BERD) Center is a joint program between Tufts CTSI and the Institute for Clinical Research and Health Policy Studies (ICRHPS). Statisticians and Epidemiologists in the BERD Center collaborate with clinical, health services, and basic science researchers throughout Tufts University and Tufts Medical Center and its affiliates. The BERD Center promotes innovation and excellence across the spectrum of translational and patient-oriented research by working with our collaborators to select the optimal study design and plan, and perform the most suitable analysis for the aims of each study. However, since BERD staff resources are limited, in general, their priority is to support federal grant proposals that would lead to collaborations.
UNH has an established agreement with the BERD that allows faculty to use the services provided by the Center, with costs covered by the Office of the Senior Vice Provost for Research. Economic Engagement and Outreach.
To access the Center's resources:
- Submit a service request
- Create a requisition in USHOP
- Submit invoice to FOC for payment
Contact your STAR GCA if you have any questions.
UNH Rigor and Reproducibility Guide
UNH Responsible Conduct of Research and Scholarly Activity Guide -- Rigor and Reproducibilty
UNH Statistical Consulting Service -- Department of Mathematics and Statistics
Statistical Consulting Services
The UNH Statistical Consulting Service (UNH SCS) is a graduate student-run group supported by professors in the UNH Mathematics and Statistics department that aims to strength research at UNH and in its community through cross-disciplinary collaboration.
Assistance is provided for:
- Data collection strategies
- Data cleaning
- Experimental Design and sample-size determination
- Predictive analytics
- Data visualization
- Model selection
- Assistance statistical software
- Model output interpretation
- Survey analysis
Web Resources
Data cleaning: The benefits and steps to creating and using clean data
Top ten ways to clean your data
NCES Distance Learning Dataset Training System
This online, interactive tool allows researchers to learn about the National Center for Education Statistics (NCES) data products across the education spectrum and evaluate them for suitability for particular research purposes. There are two types of NCES DLDT modules that are available: common modules and survey-specific modules.
The common modules help researchrs understand NCES data across the education spectrum. They also discuss the methods NCES uses to ensure that the data, published products, and reports are consistent, reliable, complete, and accurate. Lastly, the common modules help users understand how to access public- and restricted-use datasets.
The survey-specific modules provided in this training system present more detailed information about the specific studies conducted by NCES. Survey-specific modules are currently available for the following surveys:
- Early Childhood Longitudinal Study Birth Cohort (ECLS-B)
- Early Childhood Longitudinal Study Kindergarten Class of 1998-1999 (ECLS-K)
- Education Longitudinal Study of 2002 (ELS:2002)
- High School Longitudinal Study of 2009 (HSLS:09)
- National Postsecondary Student Aid Study (NPSAS)
- Beginning Postsecondary Students Longitudinal Study (BPS)
- Baccalaureate and Beyond Longitudinal Study (B&B)
- Schools and Staffing Survey (SASS)
- School Survey on Crime and Safety (SSOCS)
- Progress in International Reading Literacy Study (PIRLS)
- Trends in International Mathematics and Science Study (TIMSS)
- Program for International Student Assessment (PISA)
- Program for the International Assessment of Adult Competencies (PIAAC)
Video Training Modules Pre-Elementary Education Longitudinal Study (PEELS)
These data training modules produced by the National Center for Special Education Research of U.S. Dept. of Education's Institute of Educational Sciences (US ED/IES) are intended to be a resource to researchers who would like to use the PEELS dataset to conduct research addressing students with disabilities.
The modules provide opportunities for researchers to learn more about:
- the background of the PEELS study
- the study design and sampling
- the assessments and instruments used to collect PEELS data,
- how to access and manipulate PEELS data in SPSS and WesVar
- how to conduct longitudinal and regression analyses with PEELS data
Translating the Statistical Representation of the Effects of Education Interventions into More Readily Interpretable Forms
Translating the Statistical Representation of the Effects of Education Interventions into More Readily Interpretable Forms
This 2012 report from the US Dept. of Education, Institute of Education Sciences (US ED/IES) provides suggestions to researchers about ways to present statistical findings about the effects of educational interventions that might make the nature and magnitude of those effects easier to understand.
