Report summary

For Harvard University Department of Biostatistics in 2018-2020, the graph shows 75 visible PIs and 82 internal PI collaborations. The dominant subject mix is Medicine as the leading field (26% of slots across 36 PIs; 36 labels), Statistics and Probability as the leading subfield (13% of slots across 22 PIs; 22 labels), and Advanced Causal Inference Techniques as the leading topic (6% of slots across 12 PIs; 12 labels). That is a healthy pattern, with enough links to reveal several interpretable groups rather than one undifferentiated component. The top weighted PIs are Tyler J. VanderWeele (33.3 weighted works; Religion, Spirituality, and Psychology, Advanced Causal Inference Techniques). The most visible ties are Carlos A. Camargo and Kohei Hasegawa (45 shared works, weight 22.1); Joel Schwartz and Antonella Zanobetti (48 shared works, weight 19.6). The standout breakdown groups are group 1 with 10 PIs, 11 internal connections, weight 56.5, around Health, Toxicology and Mutagenesis, Statistics and Probability, Molecular Biology, led by Joel Schwartz, Paige L. Williams, Marc G. Weisskopf; group 2 with 10 PIs, 10 internal connections, weight 34.7, around Public Health, Environmental and Occupational Health, Nutrition and Dietetics, Molecular Biology, led by Carlos A. Camargo, Liming Liang, Bernard Rosner.