Report summary

The 2024-2026 picture for University of Pittsburgh Department of Biostatistics is a 13-PI network with 5 internal PI collaborations. The main research signal is Medicine as the leading field (30% of slots across 6 PIs; 6 labels), Molecular Biology as the leading subfield (15% of slots across 4 PIs; 4 labels), and Advanced Causal Inference Techniques as the leading topic (10% of slots across 4 PIs; 4 labels). That is a thin collaboration pattern, useful for spotting individual pairs but less persuasive as a broad departmental network. The leading PI names are Jan H. Beumer (8.2 weighted works; Chemotherapy-induced organ toxicity mitigation, PARP inhibition in cancer therapy). The clearest collaboration lines are Wei Chen and Ying Ding (3 shared works, weight 1.6). The leading breakdown groups are group 1 with 3 PIs, 2 internal connections, weight 2.2, around Statistics and Probability, Radiology, Nuclear Medicine and Imaging, Physiology, led by Ying Ding, Chaeryon Kang, Wei Chen; group 2 with 3 PIs, 2 internal connections, weight 0.7, around Cardiology and Cardiovascular Medicine, Artificial Intelligence, Statistics and Probability, led by Maria M. Brooks, Lu Tang, Chung‐Chou H. Chang.