Dr. Joon J. Song Presents Research at JSM and ISBA 2026; Students Showcase Innovative Work

The Department of Statistical Science is pleased to recognize Dr. Joon J. Song for a productive and impactful year of scholarship, collaboration, and mentorship on the international stage.

Dr. Song presented “Bayesian Quantile Regression for Misclassified Binary Data” at the 2026 American Statistical Association Joint Statistical Meetings (JSM) in Boston, Massachusetts. His coauthors were Mohammad Arshad Rahman (Indian Institute of Technology Kanpur), You-Mi Chin (Baylor University), and James Stamey (Baylor University).

In addition, Dr. Song presented the research poster “Win Ratio Approach of Bayesian Power Priors for Placebo Borrowing in Composite Endpoint Analysis” at the 18th World Meeting of the International Society for Bayesian Analysis (ISBA) in Nagoya, Japan. This work was conducted in collaboration with Yurong Chen (Baylor University and Eli Lilly and Company), Yingdong Feng (Eli Lilly and Company), Michael Sonksen (Eli Lilly and Company), and Tuo Wang (Eli Lilly and Company).

Dr. Song's commitment to research and mentoring was also reflected in the strong presence of his students and collaborators at JSM 2026. The following presentations highlighted innovative advances in biostatistics, statistical methodology, toxicology, and genomics:

• Li, J., Ghosh, I., Sonksen, M., and Song, J. J. (2026). Estimation of Treatment-Effect through Prediction of Missing Outcomes Using Historical Control Data.
• Sarfo Fosu, E., Song, J. J., and Chekouo, T. (2026). A Pathway-Informed Poisson-Lognormal Model for Detecting Spatially Expressed Genes.
• Byford, N., Faya, P., Beck, B., and Song, J. J. (2026). A Thinned Double Poisson Framework for Underdispersed Count Data in Toxicology.
• Chen, Y., Sonksen, M., Feng, Y., Wang, T., and Song, J. J. (2026). A Propensity Score-Integrated Win Ratio Method for Placebo Borrowing.

These presentations demonstrate the strength of collaborative research and student mentorship within Baylor's Department of Statistical Science. We congratulate Dr. Song, his students, and his research collaborators on their contributions to the global statistical community and their successful representation of Baylor University at two premier international meetings.