See the Graduate Program section for student and teaching/mentoring awards.
Patrick G. Arbogast Collaborative Publication Awards
These recognize outstanding collaborative publications from our department. Papers are judged on scientific influence and biostatistical contribution. Click on the recipients' names to view the papers.
2021: Andrew Spieker and Robert Greevy, "Effects of a Tailored Text Messaging Intervention Among Diverse Adults With Type 2 Diabetes: Evidence From the 15-Month REACH Randomized Controlled Trial"
2020: William D. Dupont and Dale Plummer, "8q24 genetic variation and comprehensive haplotypes altering familial risk of prostate cancer"
2019: Jonathan Chipman, Robert Greevy, and Amber Hackstadt, "Association of treatment with metformin vs sulfonylurea with major adverse cardiovascular events among patients with diabetes and reduced kidney function"
2018: Rameela Chandrasekhar Raman and Jennifer Thompson, "Haloperidol and ziprasidone for treatment of delirium in critical illness"
2017: Tatsuki Koyama
2016: Matthew Shotwell
2015: Rameela Chandreskhar
2014: Jeffrey Blume
2013: Tatsuki Koyama & Kang-Hsien (Frank) Fan
Faculty Development/Pilot Grant Awards
2022: Ran Tao, Efficient Estimation in Two-Phase Studies with Error-Prone Time-to-Event Outcome and Covariates
2021: Shilin Zhao, Improving Cancer Histopathological Deep Learning Models by Integrating Omics Data
2019: Dandan Liu, Statistical Methods for Practical Implementation of Clinical Prediction Tools in the Emergency Department
2018
- Jeffrey Blume, Promoting Novel Methods in Mediation Modeling, Statistical Inference, and Experimental Design
- Cindy Chen, Improving Data Quality for Time-Varying Measurements in Electronic Medical Records
- Dandan Liu, On Recalibration of Risk Models Using Electronic Health Records
- Matt Shotwell, Statistical Methods to Quantify and Present Patient-Specific Estimates of Drug Exposure in Pharmacokinetic Models with Residual Blood Samples
- Yaomin Xu, Multivariate Analysis of the Phenome, Genome Relationship Using Large EHR/Biobank Data: A "Big Data" Discovery Approach towards Personalized Medicine
- Fei Ye, Methylation-Wide Association Study Methods
IT Innovation Awards
2021: Jubilee Tan and Shawn Garbett, Biostatistics Reporting System (with linkage to REDCap provided via {rccola})
2020: Cole Beck, Leena Choi, Elizabeth McNeer, Nathan James, Hannah Weeks, and Michael Williams, for Dose Building, EHR R Package
Methods Publication Awards
These recognize exceptional methodological publications by biostatisticians in our department.
2021: Gustavo Amorim, Ran Tao & Bryan Shepherd, "Two-Phase Sampling Designs for Data Validation in Settings with Covariate Measurement Error and Continuous Outcome," Journal of the Royal Statistical Society, Series A
2020: Ran Tao, "Optimal Designs of Two-Phase Studies," Journal of the American Statistical Association
2019: Frank Harrell
2018: Qi Liu, Quanhu Sheng, Jie Ping & Yu Shyr, "Quantitative assessment of cell population diversity in single-cell landscapes," PLOS Biology
2017: Bryan Shepherd, Frank Harrell & Qi Liu
2016: Bryan Shepherd, Qi Liu, Nate Mercado & Cathy Jenkins, "Comparing results from multiple imputation and dynamic marginal structural models for estimating when to start antiretroviral therapy,"Statistics in Medicine
2015: Jonathan Schildcrout
2014: Dandan Liu
2013: Qingxia (Cindy) Chen
Linda Stewart Analysis Report Awards
These recognize exceptional applied analysis reports written by staff biostatisticians.
2021: Ryan Moore, “Patient-centered services to improve specialty medication adherence: A randomized clinical trial”
2020: Josh DeClercq, "Healthcare Costs and Utilization Project"
2019: Onur Orun, ""Vitamin D to Improve Outcomes by Leveraging Early Treatment: Long-term Brain Outcomes in Vitamin D Deficient Patients (VIOLET-BUD)"
2018: Ahra Kim
2017: Run Fan
2015: JoAnn Alvarez
2014: Cathy Jenkins
2013: Jennifer Thompson