Biostatistics, Epidemiology, and Research Design (BERD)
BERD is an indispensable component of the MW CTR-IN clinical and translational research enterprise, supporting many phases of a research project. Our goal is to enhance clinical and translation research within the MW CTR-IN and beyond.
BERD provides consultation and collaboration, using biostatistical, epidemiologic, and bioinformatic tools and methods in all aspects of research, from study design, implementation, to analysis. We encourage investigators of all levels to engage in BERD, beginning at the design stage throughout to the dissemination stage of the project to boost quality, consistency, and productivity. We call this in-depth engagement and collaboration the D2D (design to dissemination) model. BERD faculty collectively have extensive and broad-based experience and expertise in epidemiological, clinical trials, and sampling designs, lab experimental designs, data collection, database management, analyses of various types of data, as well as bioinformatics.
BERD also offers research training in biostatistics, bioinformatics, and epidemiology to investigators. Both classroom and online trainings are available in the form of lectures, seminars, or workshops. Online training materials are available in our virtual classroom.
BERD faculty members are biostatisticians, epidemiologists, and bioinformaticians from our 13 partner universities in the 7 mountain west IDeA states. By leveraging complementary expertise across the 13 sites, BERD is able to offer both local and cross-sites support. Each MW CTR-IN member institution has a key contact BERD member. Please contact your local BERD member first to request support.
Cross-site consultation and support occurs when local expertise or resources are unavailable. The local BERD unit shall determine the needs and make referrals to the BERD unit located at the University of New Mexico CTSC, which shall then coordinate the cross-site support. The UNM BERD unit can be reached at 505-272-7578 or via email at IDeABiostats@salud.unm.edu.
- Designs for epidemiologic studies, clinical trials, preventive trials, and surveys, and implementation science
- Sample size calculation and power analysis
- Medical and heath informatics
- Analysis of large databases including EMR
- Analysis and modeling of temporal (longitudinal) and spatial data
- Bioinformatics and analysis of omics data
- General biostatistical methods: regressions, logistic regressions, survival models, random-effects models
- Psychosocial methods: latent models, structural equation models
- Data coordination and database management
Yiliang Zhu, PhD
Fares Qeadan, PhD
To contact the CTR-IN Administrative Core by phone, you may call (702) 895-1079 between 8:30am to 5:30pm, Monday - Friday, excluding holidays. Or, you may email us at email@example.com at any time.