Rate My Professor Douglas Landsittel

Landsittel’s research focuses on the design and analysis of intervention studies and prognostic models using neural networks and tree-based methods, applied to biomarker research, occupational studies, critical care medicine, kidney and liver transplantation, and polycystic kidney disease. He employs propensity score-based methods and causal inference techniques in nonrandomized studies and comparative effectiveness research, alongside data coordination for multi-site studies. He leads the data coordinating center for the longest-running polycystic kidney disease study and directs the Data Coordinating Center for the Society of Critical Care Medicine’s Discovery Network. With over 170 collaborative publications, key works include “A prospective study of back belts for prevention of back pain and injury” (JAMA, 2000), “Gene expression alterations in prostate cancer predicting tumor aggression” (J Clin Oncol, 2004), “Development and validation of a calculator for estimating the probability of urinary tract infections in young febrile children” (JAMA Pediatr, 2018), and “Target Trial Emulation: A Design Tool for Cancer Clinical Trials” (JCO Clinical Cancer Informatics, 2023). A Fellow of the American Statistical Association, he chaired the NIH Safety and Occupational Health Study Section (2021-2023), served on other NIH panels, reviewed over 100 committees, and received 11 publication awards including multiple Alice Hamilton Awards, the Hattie Becich Award for Best Teacher, and the Big Ten Academic Alliance Department Executive Officer Fellow.