Report summary

Columbia University Department of Biostatistics in 2015-2026 reads as a 63-PI network with 124 internal PI collaborations. The dominant subject mix is Medicine as the leading field (26% of slots across 33 PIs; 33 labels), Statistics and Probability as the leading subfield (11% of slots across 18 PIs; 18 labels), and Statistical Methods in Clinical Trials as the leading topic (3% of slots across 6 PIs; 6 labels). That is promising: collaboration is not just one large hairball, and the leading breakdown groups cover 22 PIs across distinct clusters. The leading PI names are Mitchell S.V. Elkind (68.2 weighted works; Atrial Fibrillation Management and Outcomes, Cardiovascular and Diving-Related Complications). The most visible ties are Yaakov Stern and Yian Gu (36 shared works, weight 20.3). The leading breakdown groups are group 1 with 8 PIs, 7 internal connections, weight 50.3, around Statistics and Probability, Cardiology and Cardiovascular Medicine, Computational Theory and Mathematics, led by Mitchell S.V. Elkind, Zhezhen Jin, Marco R. Di Tullio; group 2 with 8 PIs, 8 internal connections, weight 18.4, around Social Psychology, Clinical Psychology, Neurology, led by Yuanjia Wang, Melanie M. Wall, Linda Valeri.