Diverse Landscapes of Statistical and Operations Research Modelling in Stroke Care

Wednesday, 26 September 2012
09:30 to 10:30
MEGA, Room 515, School of Population Health, Melbourne University
Level 5, 207 Bouverie Street

Stroke is one of the three most common causes of death around the world and the sixth most
common cause of disability worldwide. In this presentation we reflect on many facets of statistical and OR modelling for decision support in stroke care.

These include, but are not limited to, the areas as diverse as appropriate estimation of treatment effect in Phase III acute stroke trials, simulation modelling of acute stroke thrombolysis care processes, and multi-attribute evaluation of stroke imaging software platforms.

We conclude by proposing an agenda for how statistical and OR modelling could better contribute to the effort of designing and operating effective stroke care systems.


Assoc. Prof. Leonid Churilov

Leonid Churilov is the Head of Statistics and Decision Analysis Academic Platform at Florey Institute of Neuroscience and Mental Health and an Adjunct Professor in the School of Mathematical and Geospatial Sciences at RMIT University. In addition to his work supporting and collaborating with basic, clinical, and imaging neuroscience researchers, his research interests are centered on the use of optimization, simulation, and multi-attribute decision analysis for decision support in clinical and health services and systems.

He has been a co-investigator on multiple ARC and NHMRC research grants, a recipient of 2000 Victoria Fellowship, the Australian national recipient of the Operational Research Society of Japan Award, and a finalist, 2010 Institute for Operations Research and Management Science Decision Analysis Society Practice Award.