Turid Follestad

Turid Follestad serves as Associate Professor of Medical Statistics at the Department of Public Health and Nursing within the Faculty of Medicine and Health Sciences at the Norwegian University of Science and Technology (NTNU). Her academic career is anchored in rigorous biostatistical methodology applied across diverse clinical domains including diabetes management, traumatic brain injury, neonatal care, and mental health services.

• PhD in Statistics, Department of Mathematical Sciences, NTNU (2003)
• Graduate Engineer (MSc) in Industrial Mathematics, NTNU (1992)

Her research spans medical statistics with emphasis on clinical trial design, longitudinal data analysis, and biomarker validation. Current investigations focus on neurocognitive disorders in mental health settings, patient-centered diabetes interventions, and cardiovascular risk stratification using advanced imaging techniques. She frequently collaborates on multicenter randomized controlled trials across Scandinavian healthcare institutions.

Analysis of her recent publications reveals strong methodological contributions to traumatic brain injury assessment protocols, pediatric rehabilitation outcomes, and innovative applications of near-infrared spectroscopy in coronary plaque characterization. Her work consistently bridges statistical theory with practical clinical implementation.

While no formal awards are documented in the source material, her extensive publication record demonstrates significant contributions through collaborative research leadership. She participates in multiple national studies including the Norwegian Exercise in Atrial Fibrillation (NEXAF) trial and Early assessment Team (MEET) mental health initiative.

Professor Follestad's laboratory work centers on biostatistical methodology development for clinical trials, with particular expertise in handling complex longitudinal datasets from neonatal intensive care units and neurorehabilitation settings. Her team applies advanced statistical modeling to optimize patient assessment protocols across multiple medical specialties.