Attendance: Please RSVP here if attending in person to help us cater for the talk and make dinner reservations. Please register here if joining virtually for the Zoom link. Speaker: Brian Cullis Title: On the Optimal Design of Comparative Experiments and the odw R Package
Abstract The optimal design of experiments has enjoyed a rich theoretical development, with elements dating back to 1918. While able to reproduce (or validate the properties of) classical experimental designs, the technology is particularly useful for constructing designs in non-standard situations. The notion of optimality is situation dependent, and this discussion is grounded in the design of categorical experiments in the agro-biological sciences. This talk describes an R package ODW that formalises design construction through the explicit specification of the respective linear (mixed) model. Some illustrations of its use are drawn from novel design applications, including designs which use various forms of correlated treatment effects, reduced animal models for generating designs with large numbers of treatments where the focus is optimality for additive effects of treatments and multi-phase experiments.
Biography Brian Cullis is Professor of Biometry at the University of Wollongong having been appointed to this position in July 2011 after working as a biometrician for more than 30 years with NSW Department of Primary Industries. He has led numerous large-scale industry projects and has extensive experience in the management of large teams of applied statisticians working across multiple research and consulting projects on behalf of the Centre for Biometrics and Data Science for Sustainable Primary Industries, and in his previous role as Directorof Biometrics in the NSW Department of Primary Industries.
His interests relate to the application of statistical approaches to the analysis of agricultural and biological data. He has co-authored more than 210 refereed papers. Much research involves the application and development of linear mixed models techniques. He is is a co-developer of the ASReml and ASReml-R software systems. He has successfully supervised over 25Masters and PhD students and has trained, developed and mentored the majority of statisticians currently supporting the grains industry within Australia.
He was the recipient of the E.A. Cornish award in 2015, an award for recognition of a member in the Australasian Region who has given long-time service to the Biometric Society and to the advancement of biometry. He is a past Co-Editor of Biometrics and past Associate Editor of the Australian and New Zealand Journal of Statistics and is currently Co-Editor for Frontiers in Plant Science (Plant Bioinformatics) and Associate Editor of the Journal of Agricultural Science Cambridge.
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