During the first full week of April each year, APHA brings together communities across the United States to observe National Public Health Week as a time to recognize the contributions... Read more »
Dr. Donna Spiegelman has a joint doctorate in biostatistics and epidemiology and her research is motivated by problems that arise in epidemiology and require biostatistical settlement; in part a focus on troubleshooting methods for study design and data analysis to reduce bias in estimation and inference due to measurement error or misclassification in the exposure... Read more »
Dr. Richard Cook's research interests include the development and application of statistical methods for public health research. Specific areas of interest include the analysis of life history data, longitudinal data analysis, statistical methods for incomplete data, sequential methods, multivariate analysis, clinical trial design, and the assessment of diagnostic tests. Dr. Cook's Seminar talk title is:... Read more »
Dr. Jonathan Wakefield worked internationally and at University of Washington since 1999 in the Departments of Statistics and Biostatistics; he was Chair of the Dept. of Statistics from 2009-2011. His... Read more »
Please note the changed time of day for this Seminar: 2-3 pm. The Biostatistics Department Awards Day will commence directly after the seminar. Dr. Yijuan Hu is the 2020 J.E... Read more »
The 2021 Bernard G. Greenberg Distinguished Lecture Series Featuring Professor Xihong Lin, Harvard University Lecture 1: May 20, 10-11:00 a.m. Scalable Statistical Inference of Large-Scale Whole Genome Sequencing Studies Big... Read more »
The 2021 Bernard G. Greenberg Distinguished Lecture Series Featuring Professor Xihong Lin, Harvard University Lecture 2: May 20, 3-4 p.m. Large-Scale Hypothesis Testing for Causal Mediation Effects with Applications in... Read more »
The 2021 Bernard G. Greenberg Distinguished Lecture Series Featuring Professor Xihong Lin, Harvard University Lecture 3: May 21, 10-11 a.m. Regression Models for COVID-19 Epidemic Dynamics with Incomplete Data Modeling infectious disease dynamics has been critical throughout the COVID-19 pandemic. Of particular interest are the incidence, total prevalence, and effective reproductive number (Rt). Estimating these... Read more »
Join the Department of Biostatistics for a Gillings Virtual Reception in conjunction with the Joint Statistical Meetings (JSM) 2021. To join this virtual event, you must register in advance. After registering, you will receive a confirmation email containing information about joining the reception with a personal URL for your use to join the event. Contact... Read more »
Come learn from current Biostatistics students who have been through the application process. Open to all interested/potential applicants to the Gillings School's biostatistics programs. Register in advance. Contact Taylor Krajewski with questions.
Dr. Evan Mayo-Wilson is an epidemiologist with training and experience in intervention design, evaluation and translation of clinical evidence into policy and practice. His research focuses on evaluating the effectiveness of pharmacological and behavioral interventions; improving methods for clinical trials and systematic review; and developing methods and interventions to increase research tran11sparency and openness. View... Read more »
Gillings students, as part of schoolwide strategic planning, the Gillings School has convened a Practice Task Force, and we need to hear from you! We are seeking your thoughts and ideas on what practice at Gillings should look like in 2028. How can we achieve the greatest impact? What opportunities are we missing? How can... Read more »
Join the NC TraCS Institute for a live training session for Semblie, a free platform for developing digital health interventions. Semblie was designed with the needs of public health researchers and practitioners in mind. This web-based platform makes it easy to create interactive decision aids and tailored health education tools. This session will introduce the... Read more »
Machine learning analysis methods offer the opportunity to integrate and learn from large amounts of biological, clinical, and environmental data. During this session, clinicians and researchers will discuss examples of how machine learning tools have been applied in arthritis and autoimmune disease. This session will feature an overview of machine learning and its application to... Read more »
Machine learning analysis methods offer the opportunity to integrate and learn from large amounts of biological, clinical, and environmental data. During this session, clinicians and researchers will explore the use... Read more »
