The Fostering Diversity in Biostatistics Workshop has been held at the annual ENAR Spring Meeting since 1999. This day-long workshop aims to increase the number of quantitatively skilled young scholars from under-represented minority groups enrolling in advanced degree programs in Biostatistics, so as to promote their participation in and contributions to our field. The next workshop is planned for the 2022 ENAR Spring Meeting in Houston, Texas.
The Workshop for Junior Biostatisticians in Health Research has been a highly successful endeavor since 2001. This workshop, which is offered every other year, has offered opportunities to junior researchers to interact with prominent senior researchers and to become familiar with the grant application and review processes. Many researchers who have attended the workshop in the past are now flourishing mid-level and senior-level investigators. The next workshop is planned for the 2023 ENAR Spring Meeting in Nashville, Tennessee.
Drexel University Dornsife School of Public Health, Department of Epidemiology and Biostatistics
The Dornsife School of Public Health at Drexel University was founded on the principle of health as a human right and the recognition of the importance of social justice as a means to achieve health for all.
Dornsife ranks as the #1 school of public health in Philadelphia and in the top 15% in the nation according to U.S. News & World Report's 2021 rankings of the nation’s best graduate schools. The school's academic programs are fully accredited by the Council on Education for Public Health (CEPH).
The Department of Epidemiology and Biostatistics applies, develops, and teaches the skills needed to understand the determinants of disease and improve health. We teach students the descriptive and analytic approaches (epidemiology) needed to investigate the complex causes of major public health problems and to develop effective strategies to prevent them. The biostatistics program centers on the development and application of theory and methods in the collection, analysis, and interpretation of data used in public health and other biomedical sciences.
GSK is a science-led global healthcare company that researches, develops and manufactures innovative medicines, vaccines and consumer healthcare products. Our goal is to be one of the world’s most innovative, best performing and trusted healthcare companies. Our biostatisticians, programmers and data scientists are transforming R&D decision-making from expert gut feel to one anchored in quantitative thinking and statistical analysis, thus enabling scientists to make data-driven choices, maximizing success and delivering more value to our patients.
Harvard T.H. Chan School of Public Health, Department of Biostatistics
The Department of Biostatistics at the Harvard T.H. Chan School of Public Health offers an unparalleled environment to pursue research and education in statistical and data science while being at the forefront of efforts to benefit the health of populations worldwide. Our faculty and researchers are leaders in the development of statistical methods for clinical trials and observational studies, studies on the environment, and genomics/genetics. With a rich history of innovative approaches to computational biology, quantitative genomics and the analysis of massive data, our graduates are armed with exceptional analytic and computing skills and are thriving in a wide range of careers in academia, industry, the government, and beyond. The department's unique community provides countless resources and collaborative opportunities within Harvard Medical School, the Dana-Farber Cancer Institute and world-class hospitals in Boston.
Merck & Co., Inc.
For more than a century, Merck has been inventing for life, bringing forward medicines and vaccines for many of the world’s most challenging diseases. Today, Merck continues to be at the forefront of research to deliver innovative health solutions and advance the prevention and treatment of diseases that threaten people and animals around the world.
Procter & Gamble
The Procter & Gamble Company (P&G) is one of the world’s largest consumer packaged goods companies and is considered one of the leading companies contributing to growth and innovation in an evolving market. P&G’s mission is to provide branded products and services of superior quality and value that improve the lives of the world’s consumers. P&G leverages consumer knowledge to identify unmet consumer needs and develop new technologies to address these needs.
The Ohio State University, College of Public Health, Division of Biostatistics
The Division of Biostatistics, College of Public Health, The Ohio State University has training programs leading to an MPH and MS in Biostatistics. Additionally, we offer an Interdisciplinary PhD in Biostatistics in partnership with the Department of Statistics at OSU.
University of Michigan School of Public Health, Department of Biostatistics
The Department of Biostatistics at the University of Michigan School of Public Health is rated the top biostatistics program in the country by the National Academies. We bring biostatistical design and analysis expertise to a wide spectrum of health-related issues. Our faculty, students, and staff work in important and diverse areas of current biostatistical research; including Bayesian methods, causal inference, clinical trials, electronic health records, high dimensional inference, image analysis, longitudinal data analysis, machine learning, methods for missing data, mobile health, personalized prevention and treatment, statistical computing, statistical genetics, genomics and bioinformatics, survey research, and survival and event history analysis.
University of Rochester, Department of Biostatistics and Computational Biology
The Department of Biostatistics and Computational Biology, has a long record of excellence in methodological and collaborative research in the education of professionals in and users of statistics. The Department currently has 20 faculty with research interests spanning traditional biostatistics, stochastic modeling, bioinformatics and computational biology. Methodological research interests of the faculty include analysis of large-scale datasets (e.g., from high-throughput sequencing and imaging applications), Bayesian methods, causal inference, clinical trial design, dynamic treatment regimes, longitudinal data analysis, modeling and analysis of data derived from biological and social networks, nonparametric and semiparametric inference, order-restricted inference, smoothing techniques, statistical computing, stochastic modeling of complex cell systems, and survival analysis.
University of Virginia School of Medicine, Department of Public Health Sciences
The Department of Public Health Sciences in the University of Virginia School of Medicine works with clinicians and researchers to improve the health of individuals and populations. Our mission is to provide excellence and leadership in innovative research, education, and community engagement strategies to advance clinical care, patient outcomes, and population health.