2020 David P. Byar Early Career Award Recipients
The David P. Byar Early Career Award is given annually to a new researcher in the Biometrics Section who presents an original manuscript at the Joint Statistical Meetings. The award commemorates David Byar, a renowned biostatistician who made significant contributions to the development and application of statistical methods during his career at the National Cancer Institute. In addition, we give out paper awards to deserving recipients.
We are pleased to announce the following 2020 recipients:
David P. Byar Early Career Award
Yi Zhao, from Indiana University for the paper entitled "Multimodal Neuroimaging Data Integration and Pathway Analysis"
Paper Awards
Ting Ye from the University of Pennsylvania for the paper entitled "Debiased Inverse-Variance Weighted Estimator in Two-Sample Summary-Data Mendelian Randomization"
Jacob Maronge from the University of Wisconsin-Madison for the paper entitled "Generalized case-control sampling under generalized linear models"
Yinqiu He from the University of Michigan for the paper entitled "Asymptotically Independent U-Statistics in High-Dimensional Testing"
Lu Xia from the University of Michigan for the paper entitled "A Revisit to De-biased Lasso for Generalized Linear Models"
Dustin Rabideau from the Harvard T. H. Chan School of Public Health for the paper entitled "Randomization-Based Confidence Intervals for Cluster Randomized Trials"
Jialei Chen from the Georgia Institute of Technology for the paper entitled "Function-on-function kriging, with applications to 3D printing of aortic tissues"
Minjie Wang from Rice University for the paper entitled "Generalized Convex Clustering Optimization and Feature Selection for Mixed Multi-View Data"
The ASA Biometrics Section congratulates the award winners and committee members for their hard work.