Anders Granholm

Anders Granholm serves as an Assistant Professor in the Section of Biostatistics within the Department of Public Health at the University of Copenhagen. He maintains a dual academic-clinical appointment with Copenhagen University Hospital - Rigshospitalet, where he works in the Department of Intensive Care and Platform Trial Unit. His research profile bridges advanced statistical methodology with critical care clinical research, focusing on innovative trial designs that address urgent healthcare questions in intensive care settings.

Dr. Granholm's primary research interests encompass clinical trials methodology, with particular expertise in adaptive (platform) trials, Bayesian inference approaches, statistical simulation for trial design, and evidence-based medicine applications including systematic reviews and clinical practice guidelines. His work represents a sophisticated integration of biostatistical innovation with practical clinical applications in critical care medicine.

His recent publication portfolio demonstrates a strong focus on methodological advancements in clinical trial design, particularly for critical care applications. The publications reveal consistent engagement with platform trial methodology, Bayesian approaches to trial design and analysis, and practical implementation of complex trial designs in real-world intensive care settings. His work spans theoretical methodological development, practical implementation guidance, and application to specific clinical questions in critical care.

As methods lead and coordinating investigator for the Intensive Care Platform Trial (INCEPT), a Bayesian adaptive platform trial in critically ill patients, and methods lead for the EMPRESS trial (an advanced Bayesian adaptive clinical trial), Dr. Granholm plays a central role in advancing trial methodology for critical care interventions. His collaborative network includes prominent researchers in critical care medicine and biostatistics across multiple institutions.