Report summary

For University of Michigan–ann Arbor Department of Biostatistics in 2021-2023, the graph shows 42 visible PIs and 86 internal PI collaborations. The main research signal is Medicine as the leading field (25% of slots across 21 PIs; 21 labels), Statistics and Probability as the leading subfield (14% of slots across 14 PIs; 14 labels), and Statistical Methods and Inference as the leading topic (7% of slots across 9 PIs; 9 labels). That is a healthy pattern, with enough links to reveal several interpretable groups rather than one undifferentiated component. The most prominent PIs by weighted works are Dinesh Khanna (40.5 weighted works; Systemic Sclerosis and Related Diseases, Dermatologic Treatments and Research); Kevin C. Chung (37.9 weighted works; Orthopedic Surgery and Rehabilitation, Bone fractures and treatments). The clearest collaboration lines are Bhramar Mukherjee and Lars G. Fritsche (19 shared works, weight 10.4). The strongest breakdown groups are group 1 with 6 PIs, 5 internal connections, weight 11.4, around Statistics and Probability, Economics and Econometrics, Dermatology, led by Lam C. Tsoi, Yi Li, Jian Kang; group 2 with 5 PIs, 5 internal connections, weight 18.4, around Genetics, Molecular Biology, Infectious Diseases, led by Bhramar Mukherjee, Xiang Zhou, Lars G. Fritsche.