As part of ENAR's education initiative, our webinars promote continuing education for professional and student statisticians by disseminating cutting-edge knowledge to our membership. An ENAR webinar (or "WebENAR") can strengthen your background in methodology and software, provide an opportunity to learn about a topic outside of your primary area of specialization, or deepen your understanding of an area in which you already work. We invite you to participate and benefit from the expertise of some of North America's leading statisticians and biostatisticians.
The Webinar Committee of the ENAR Regional Advisory Board (RAB) is coordinating this ongoing series of 1- to 2-hour webinars given by renowned experts. Registration is free for current ENAR members. The webinars are planned to be broadly available and we encourage groups at your institution or workplace to participate together. WebENARs provide excellent learning opportunities for students and professionals alike.
Registration fees are waived for ENAR members, however, advance registration is still required for all attendees. Please email enar@enar.org if you have any questions.
The Role of the Biostatistician: Driving the Science of Data-Intensive Research in Team Settings
Wednesday, November 13, 2024
2-4 pm EDT
Speaker:
Manisha Desai, PhD, Kim and Ping Li Professor of Medicine, Biomedical Data Science, and Epidemiology and Population Health, Stanford School of Medicine
Data-intensive research requires collaboration and leadership on the part of data scientists. In this course, participants who are data scientists will learn optimal team science tools for engaging clinical and translational investigators in the collaborative research process with a strong voice. These principles apply across the medical, behavioral, and social sciences.
The course will touch upon aspects of engagement with other peer scientists in a team setting all along the translational research process from study design to data management to data analysis to dissemination of findings. We will address the following questions:
Importantly, workshop participants will learn how to
Topic areas include: optimal team make up from a data science perspective; how to influence and engage collaborators on study design; how to educate collaborators on engaging data scientists; how to educate collaborators on rigor and reproducibility principles such as creating a statistical analysis plan, pre-registering studies, and deciding on authorship; elements that comprise the ideal statistical analysis plan; how to play an integral role during data collection and data extraction phases of the study; and optimal approaches for dissemination of findings to the team and to the research community that adhere to rigor and reproducibility principles and that ensure integration of the data scientist’s voice. Materials will be taught with lecture style and through simulated role play.
Bio:
Manisha Desai, PhD, is the Kim and Ping Li Professor of Medicine, Biomedical Data Science, and Epidemiology and Population Health. She also serves as the Associate Dean of Research in the Stanford School of Medicine. Dr. Desai is the founding Director of the Stanford Quantitative Sciences Unit (QSU), a collaborative unit comprised of faculty, staff, and trainees who practice data science to address biomedical questions relevant for public health. The QSU relies on team science principles to provide robust data science infrastructure for numerous initiatives throughout the Stanford School of Medicine including studies supported by the Stanford Cancer Institute. Dr. Desai has been involved in several efforts to design studies that evaluate the utility of AI-based interventions. Her other methodological areas of interest include the handling of missing data; translating trial findings to real-world target populations; and integration of real-world data, like mobile health and electronic health records, into clinical trials.
Registration is closed. Webinar access instructions are being sent to participants via email. Please contact enar@enar.org, if you require assistance.
