Report summary

Duke University Department of Biostatistics and Bioinformatics in 2024-2026 reads as a 34-PI network with 28 internal PI collaborations. The research center of gravity is Medicine as the leading field (28% of slots across 18 PIs; 18 labels), Statistics and Probability as the leading subfield (15% of slots across 12 PIs; 12 labels), and Advanced Causal Inference Techniques as the leading topic (9% of slots across 9 PIs; 9 labels). Overall the pattern is balanced: there is enough structure to identify active groups, while the field mix still leaves room for multiple research identities. The most prominent PIs by weighted works are Susan Halabi (9.9 weighted works; Advanced Causal Inference Techniques, Statistical Methods and Bayesian Inference). The strongest pairings are Gina‐Maria Pomann and Greg Samsa (7 shared works, weight 3.9). The strongest breakdown groups are group 1 with 10 PIs, 11 internal connections, weight 10.4, around Radiology, Nuclear Medicine and Imaging, Statistics and Probability, Public Health, Environmental and Occupational Health, led by Benjamin A. Goldstein, Chuan Hong, Nrupen A. Bhavsar.