Report summary

Columbia University Department of Biostatistics in 2018-2020 reads as a 18-PI network with 7 internal PI collaborations. The research center of gravity is Medicine as the leading field (26% of slots across 9 PIs; 9 labels), Statistics and Probability as the leading subfield (18% of slots across 7 PIs; 7 labels), and Advanced Causal Inference Techniques as the leading topic (6% of slots across 3 PIs; 3 labels). That is of concern for a 18-PI roster; the strongest pairings may be carrying much of the visible collaboration. The most prominent PIs by weighted works are Mitchell S.V. Elkind (22.6 weighted works; Atrial Fibrillation Management and Outcomes, Cardiovascular Function and Risk Factors); Yaakov Stern (22 weighted works; Functional Brain Connectivity Studies, Mental Health Research Topics). The strongest pairings are Min Qian and Bin Cheng (3 shared works, weight 0.8). The strongest breakdown groups are group 1 with 5 PIs, 4 internal connections, weight 1.8, around Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Cognitive Neuroscience, led by Mitchell S.V. Elkind, Yaakov Stern, Gen Li.