Report summary

For Harvard University Department of Biostatistics in 2015-2026, the graph shows 118 visible PIs and 455 internal PI collaborations. The dominant subject mix is Medicine as the leading field (32% of slots across 70 PIs; 70 labels), Statistics and Probability as the leading subfield (10% of slots across 29 PIs; 29 labels), and Advanced Causal Inference Techniques as the leading topic (5% of slots across 18 PIs; 18 labels). That is a healthy pattern, with enough links to reveal several interpretable groups rather than one undifferentiated component. The top weighted PIs are Frank B. Hu (121.6 weighted works; Nutritional Studies and Diet, Diet and metabolism studies). The most visible ties are Carlos A. Camargo and Kohei Hasegawa (142 shared works, weight 74); Frank B. Hu and Walter C. Willett (242 shared works, weight 61.1). The standout breakdown groups are group 1 with 10 PIs, 14 internal connections, weight 339.7, around Public Health, Environmental and Occupational Health, Physiology, Molecular Biology, led by Frank B. Hu, Walter C. Willett, Carlos A. Camargo.