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.
2023: Bryan Blette, "Is low-risk status a surrogate outcome in pulmonary arterial hypertension? An analysis of three randomised trials"
2022: Jing Wang and Qi Liu, "PAX3-FOXO1 coordinates enhancer architecture, eRNA transcription, and RNA polymerase pause release at select gene targets"
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, "Association between radiation therapy, surgery, or observation for localized prostate cancer and patient-reported outcomes after 3 years"
2016: Matthew Shotwell
2015: Rameela Chandrasekhar
2014: Jeffrey Blume
2013: Tatsuki Koyama & Kang-Hsien (Frank) Fan
Faculty Development/Pilot Grant Awards
2024: Jing Wang, Developing Cell-Type-Specific Enhancer-Mediated Regulatory Maps
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
2023: Savannah Obregon, Cole Beck, and Shawn Garbett, for REDCapAPI: Interface to REDCap
2022: Will Gray, for the development, maintenance and continued Improvement of Shiny Apps to display results from multiple prediction models
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.
2023: Shengxin Tu and Bryan Shepherd, "Rank intraclass correlation for clustered data," Statistics in Medicine
2022: Qi Liu, Chih-Yuan Hsu, and Yu Shyr, "Scalable and model-free detection of spatial patterns and colocalization," Genome Research
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.
2023: Onur Orun, "BRAIN-ICU Long-term Outcomes Latent Trajectory Analysis Report"
2022: Trey McGonigle, "The developmental trajectory of diurnal cortisol in autistic and neurotypical youth"
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