The David P. Byar Young Investigator 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, the section gives travel awards. This year’s recipients are the following:

David P. Byar Award Winner

Tiffany Tang, University of California, Berkeley
Integrated Principal Components Analysis

JSM Travel Award Winners

Methods Section
Yuan Chen, Columbia University Mailman School of Public Health
“Stage-Wise Synthesis of Randomized Trials for Optimizing Dynamic Treatment Regimes”

Lucy L. Gao, University of Washington
“Are Clusterings of Multiple Data Views Independent?”

Pixu Shi, University of Wisconsin – Madison
“High-Dimensional Log-Error-in-Variable Regression with Applications to Microbial Compositional Data Analysis”

Ted Westling, University of Pennsylvania
“Causal Isotonic Regression”

Rui Chen, University of Wisconsin – Madison
“Tailored Optimal Post-Treatment Surveillance for Cancer Recurrence”

Practice Section
Amanda Mejia, Indiana University
“A Spatial Bayesian Modeling Approach for Cortical Surface fMRI Data Analysis”

Fan (Frank) Li, Duke University
“Propensity Score Weighting for Causal Inference with Multi-Valued Treatments”

Giovanni Nattino, The Ohio State University
“Triplet Matching for Estimating Causal Effects with Three Treatment Arms: A Comparative Study of Mortality by Trauma Center Level”