Report summary

For University of Michigan–ann Arbor Department of Biostatistics in 2018-2020, the graph shows 40 visible PIs and 76 internal PI collaborations. The dominant subject mix is Medicine as the leading field (25% of slots across 17 PIs; 17 labels), Statistics and Probability as the leading subfield (18% of slots across 16 PIs; 16 labels), and Statistical Methods and Inference as the leading topic (9% of slots across 10 PIs; 10 labels). That is a healthy pattern, with enough links to reveal several interpretable groups rather than one undifferentiated component. The top weighted PIs are Bhramar Mukherjee (21.3 weighted works; Genetic Associations and Epidemiology, Advanced Causal Inference Techniques). The most visible ties are Kevin He and Yi Li (6 shared works, weight 3.8). The standout breakdown groups are group 1 with 9 PIs, 8 internal connections, weight 16.3, around Statistics and Probability, Molecular Biology, Economics and Econometrics, led by Lam C. Tsoi, Kevin He, Yi Li.