Michael W. Kattan

Michael W. Kattan works in medical statistics and predictive modeling, developing tools to forecast disease outcomes and guide treatment decisions across many clinical areas, especially prostate cancer, urology, and oncology more broadly. His work often involves building and validating statistical or machine-learning models (e.g., nomograms, risk calculators) using patient data to predict things like cancer recurrence, treatment response, or complication risk. He collaborates widely across specialties, contributing methodological and biostatistical expertise to studies in cardiology, gastroenterology, orthopedics, radiology, and transplant medicine.

Publication output was relatively high and variable from 2017–2021 (peaking around 57-58 papers per year) but has declined notably since 2022, with the last five years averaging about 23 publications per year.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026