Twenty-month, 48-credit-hour degree for students who plan to go on to pursue a PhD or scientific research and academic careers, including jobs in biostatistics and data science. With the MS we also offer:
"I think right now is the best timing to start studying biostatistics," says Interim Department Chair Shuangge Steven Ma, PhD. "Public health and medical research, nowadays, rely more and more on data. Biostatistics is the only field that can combine the department of mathematics, statistics, computer science, and health informatics."
Core MembersFacultyMadhu Mazumdar, PhD: Dr. Mazumdar is the Director of the Biostatistics Shared Resource Facility and is responsible for the recruitment, retention, training, assignment and prioritization of consulting requests to BSRF biostatisticians. She is well known nationally and internationally for establishing biostatistics units and has extensively published on this topic. She led the reform effort of the TCI-BSRF expeditiously by following ten strategies and shared the experiences and success metrics in a perspective piece published in the Journal of the National Cancer Institute. Dr. Mazumdar is also a sought-after collaborator on projects spanning from laboratory research, clinical trials, and healthcare delivery research and has published >150 manuscripts in oncology of 280 total publications.
Affiliate members are called upon for their special skills in biostatistics, bioinformatics, data science, genetics, economics, qualitative research, decision science, and epidemiology if TCI projects are in need of these skills.
The Department of Biostatistics and Bioinformatics offers a Ph.D. degree in Biostatistics through the Duke University Graduate School. A distinguishing feature of the program is its integration within the world-class biomedical research enterprise at Duke University and the Duke School of Medicine. The goal of the program is to train students to become independent researchers who will advance the field of biostatistics, including statistical genetics and genomics. New methodological development with application in health-related areas is critical to this goal. The program emphasizes development of methodology that incorporates the features of health-related problems, effective collaboration and communication with scientists, and ability to teach biostatistics.
The mission of our program is to train students to become independent researchers who will advance the field of biostatistics, including statistical genetics and genomics. New methodological development with application in health-related areas is critical to this goal. The program emphasizes development of methodology that incorporate the features of health-related problems, effective collaboration and communication with scientists, and ability to teach biostatistics.
Each of these questions is critical to the field of public health, in which professionals seek to promote the physical health and well-being of entire populations. To help answer these questions, and ultimately to advance better health outcomes, public health experts rely on the scientific disciplines of epidemiology and biostatistics.
These disciplines, while overlapping in several ways, are distinct from each other. This article will consider the similarities and differences in epidemiology vs. biostatistics, as well as the roles that both disciplines play in promoting public health.
A significant subdiscipline of biostatistics is statistical genetics. Researchers in statistical genetics use different statistical methods to draw conclusions based on genetic data. Statistical genetics provides insight into how different genes:
To keep communities safe and healthy, public officials need to have a clear understanding of different factors that impact the health of individuals and the population as a whole. Through scientific inquiry, both epidemiology and biostatistics provide this understanding and lay a foundation for greater health and well-being throughout our communities.
Our MS in Biostatistics and Data Science program provides top-class training in biostatistics and data science techniques that are essential to collect, manage, and analyze biomedical and health data.
An independent biostatistician often encounters data collected on patients over a length of time, or data that are otherwise clustered. This course will give the students necessary tools to analyze such data, while building on the core biostatistics material they have learned from other courses. Specifically, the students will learn to use mixed-effect models, mixed-effect ANOVA, generalized linear mixed models (GLMM), mixed-effect Cox-regression, Bayesian hierarchical models, repeated measure and longitudinal data analysis with appropriate covariance structures.
Ying Li's passion for exploring diseases and potential new treatments attracted her to graduate school. WCM's capstone project, comprehensive hands-on training, cohort diversity, and close collaboration with local hospitals and medical centers ultimately brought her to the biostatistics and data science track of the MS in Healthcare Policy and Research program.
The Master of Science in biostatistics is a Professional Science Masters' (PSM) program developed in parallel with the applied statistics, data science and analytics, health informatics and bioinformatics, and cell and molecular biology programs. Visit gvsu.edu/psm for more PSM program information.
The five PSM programs are interdisciplinary and feature common core courses. The biostatistics program features directed courses in biostatistics, an internship, and a culminating capstone experience.
Understanding biostatistics is paramount for cancer research. BIOS 101: Principles of Biostatistics and Data Science for Cancer Researchers at UNM Comprehensive Cancer Center (UNMCCC) is a diverse program presented in a series of seven lectures. The lectures introduce the basic principles of biostatistics and quantitative data science and are intended for those who are interested in engaging in research, in the process of learning biostatistical applications, or for those who desire a refresher course.
The mission of our biostatistics program is to advance knowledge in the fields of biostatistics, and to provide leadership and scholarship in research, teaching and mentoring, for the advancement of biomedical science and improvement of human health. We play a vital role in the education mission and the multidisciplinary and translational research mission of Augusta University, crossing the boundaries of academic colleges.
The biostatistics doctoral program is pleased to announce its participation in the Summer STAR (Student Training And Research) Program. The Summer STAR program is designed for undergraduate students who are interested in obtaining a Ph.D. in biomedical sciences, nursing, or biostatistics at Augusta University. Biostatisticians play a critical role in new research discoveries by developing methods for study designs and data analysis to advance scientific knowledge in biomedical, clinical and public health fields. To find out how to become a Summer STAR student in biostatistics, click the link below:
Statistical services of the BSR for research design, planning, and analysis are offered to members of the cancer center, subject to availability and adequate advance notice. The BSR provides pre-award biostatistics services without charge to directly support development of grant proposals that, if awarded, will include biostatistics funding for project-specific support. This support includes analysis of pilot data, calculation of sample sizes and power, and other small projects that are prerequisites for the development of grant proposals. Up to 10 hours of support per project is provided for other biostatistics assistance on unfunded projects. Priorities for without-charge support are determined in consultation with the CCSG leadership at weekly Internal Advisory Committee meetings. More information on services offered are described here.
We also offer biostatistics application tools developed for cancer research and intended to equip investigators with tools to enable efficient data mining that will help in formulating a specific research question to then engage resources and others on how best to address it.
All students must complete a minimum of 54 credits of biostatistics/statistics course work (30 credits will typically be transferred from a Master of Science program), 6 credits of public health course work, 3 credits towards consulting requirement, 6 credits towards a cognate requirement, and 21 credits of dissertation work. 041b061a72