IS.04

24 August 2020 | 14:00 UTC / GMT

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Motivation:
Many statisticians find that the greatest joy in making meaningful contributions to science is via applications (e.g. medicine, public health, business) as a part of interdisciplinary research teams. Being an effective member of these teams is analogous to sewing together the relevant pieces to make a beautiful quilt. To be an effective team science member one, obviously, must have strong analytic skills and be able to communicate the statistical methodology, but one also must have strong interpersonal skills and develop a collaborative approach to address the needs of the interdisciplinary team.

This proposed session explores the diverse and exciting career in statistical collaboration and may be especially appealing to Young Statisticians as they decide on a career path.  Thus the proposal supports The International Biometric Society’s dedication and interest in attracting and increasing participation of young statisticians in conferences and the organization as a whole (Ryan LM. Presidents’ Corner. Biometric Bulletin, 32(3) 2018; Doherty, P.  Young Statisticians of All Ages Joined Us at IBC 2018. Biometric Bulletin, 32(3) 2018). 

The slate of speakers collectively has over 100 years of experience in successful collaborations.  In the context of successful models of team science, talks will include strategies for enhancing interdisciplinary experiences, incorporating students and interns, and increasing international collaborations.  The speakers/discussant are:

• Frank Bretz is currently Global Head of the Statistical Methodology and Consulting group at Novartis. He has supported methodological advances in various areas of drug development, including dose-finding, multiple comparisons, and adaptive designs. He is an Adjunct Professor at the Hannover Medical School and the Shanghai University of Finance and Economics.
• Kim Love is the owner and lead consultant at K. R. Love Quantitative Consulting and Collaboration. She has worked as a statistical consultant and collaborator in multiple professional roles, including the Associate Director of the University of Georgia Statistical Consulting Center before starting her own business. Her statistical expertise includes regression and linear models, categorical data, generalized linear models, mixed effects models, nonlinear models, repeated measures, and experimental design.
• Daniel Yoo works with the Centers for Disease Control and Prevention (CDC).
• Renee’ H. Moore is an Associate Professor-Research in the Department of Biostatistics and Bioinformatics at the Rollins School of Public Health of Emory University, and the Director of the Biostatistics Collaboration Core.  Her research interests are in the design, conduct, and analysis of clinical trials and statistical applications to obesity, sleep apnea, and health disparities. She has a wealth of experience as a biostatistician collaborating with clinicians, public health practitioners, and scientists.