Zelen Award

Marvin Zelen Leadership Award in Statistical Science

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 2022.

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 11, 2022.

Previous Award Winners

2021  Marie Davidian
Estimating Vaccine Efficacy Over Time After a Randomized Study is Unblinded

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