Marvin Zelen Leadership Award in Statistical Science
About the Award
This annual award, supported by colleagues, friends and family, was established to honor Dr. Marvin Zelen’s long and distinguished career as a statistician and his major role in shaping the field of biostatistics.
The award recognizes an individual in government, industry, or academia, who by virtue of his/her outstanding leadership, has greatly impacted the theory and practice of statistical science. While individual accomplishments are considered, the most distinguishing criterion is the awardee’s contribution to the creation of an environment in which statistical science and its applications have flourished. The award recipient will deliver a virtual lecture on statistical science and will be presented with a citation and an honorarium.
Nominations
Nominations are welcome for next year’s award, to be given in May 2021.
Please send nominations via email
Nominations should include a letter describing the contributions of the candidate, specifically highlighting the criteria for the award, and a curriculum vita. Other supporting materials would be extremely helpful to the committee.
All nominations must be received by Friday, February 12, 2021.
Previous Award Winners
2020 Roderick J. Little
Missing Data Methods: Past, Present and Future
2019 Colin B. Begg
Challenges of Leading a Biostatistics Department in the 21st Century
2018 Constantine Gatsonis
The Evaluation of Diagnostic Imaging in the Era of Radiomics
2017 Richard Simon
Translating Genomics to Personalized Oncology: Key Contributions of Statistical Scientists
2016 Karen Bandeen-Roche
The Flourishing Statistical Environment: How can we tell?
2015 Nan M. Laird
DeSermonian and Laird on Meta-Analysis: Three Second
2014 Xiao-Li Meng
Personalized Treatment: Sounds Heavenly, But Where On Earth Did They Find the Right Guinea Pig For Me
2013 John J. Crowley
A Brief History of Survival Analysis
2012 Nicholas P. Jewell
Counting Civilian Casualties
2011 J.Richard Landis
Methods for Investigating Agreement & Concordance: with Applications in the Biomedical Sciences
2010 Ingram Olkin
Measures of Heterogeneity. Diversity and Inequality
2009 David L. DeMets
Challenges in Clinical Trials; Some Old and Some New
2008 Norman E. Breslow
The Case-Control Study: Origins, Modern Conception and Newly Available Methods of Analysis
2007 Scott L. Zeger
The Symbiosis of Statistical Science and Biomedicine; Past and Future
2006 Mitchell H. Gail
Absolute Risk: Clinical Applications and Controversies
2005 Ross L. Prentice
Chronic disease prevention: Research strategies and needs
2004 Robert C. Elston
The analysis of case-control data to detect candidate genes
2003 Wayne A. Fuller
Analytic studies with complex survey data
2002 Robert O’Neill
A Perspective on the Development and Future of Statistics at the FDA
2001 Niels Keiding
Event Histories and Their Analysis
2000 Lincoln E. Moses
Deciding whether Large Clinical Trials and Meta-analyses Agree or Not
1999 John W. Tukey
A Smorgasbord of Handy Techniques That Can Help in Analyzing Data
1998 Sir David Roxbee Cox
Graphical Models in Statistics: A Review
1997 Frederick Mosteller
The Importance of Clinical Trials in Education