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The Biostatistical Consulting and Collaboration Center at Nova Southeastern University supports faculty, research teams, residents, and students at NSU across all stages of the research process. From experimental design to tailored data analysis and research strategy, the Center advances high-quality, rigorous, and reproducible research.
Our team comprises experienced professionals in research, biostatistics, and grant writing, as well as investigators skilled in study design, data collection, advanced analysis, visualization, and the preparation of publications and manuscripts.
Contact Us
Email: biostatscenter@nsu.edu
Location: [Building Name, Room #]
Consultation Hours: Monday–Friday, 8:30 AM – 5:00 PM
Request a Consultation
Services and Areas of Expertise
Statistical Tests and Analyses
Our consultants specialize in many areas, ranging from analytic methods, including but not limited to:
- Correlation and association analyses
- Meta-analysis
- Hypothesis testing
- Categorical Data Analysis
- Survival Analysis
- Machine Learning and Predictive Analytics
- Power analysis
- Generalized Linear Models (including mixed-effects models)
- Generalized Additive Models (including mixed-effects models)
- Temporal/spatial analyses (and similar models involving auto-correlation structures)
- Biodiversity & ecological community analyses
Software and Platforms
Our team utilizes standard statistical and data management software, including, but not limited to:
Statistical Programming: SAS • SPSS • R • Stata • Mplus ; PRIMER with PERMANOVA+
Data Management and Tools: REDCap • SQL • Java; GitHub
Benefits of Working with Us
Individuals with experience in ecological, clinical, public health, business, and biomedical research conduct all analyses. With every project we receive, we strive to maintain a high standard of quality and accuracy in all our presentations. Our experts at the NSU Biostatistical Consulting and Collaboration Center can assist with various aspects of the research process, including statistical project design, appropriately wording data analysis, and interpretation of findings for manuscripts, grants, and IRB submissions.
Our Team
