Many of the more advanced areas of experimental design are not covered or can only be briefly touched upon in traditional lecture courses. To introduce PhD students and early-career researchers to some of these topics a series of three intensive short courses is organized as part of a programme on Design of Experiments at the Isaac Newton Institute.
Each course covers one of the main themes of the programme and is presented by a renowned expert in the field. A basic knowledge of experimental design ideas and linear model theory is assumed.
Methodology driven topics
B1 Multi-stratum experiments - S G Gilmour (Queen Mary, University of London)
B2 Optimal design for linear and non-linear models - R Schwabe (Otto-von-Guericke University Magdeburg)
B3 Multi-tiered experiments - C J Brien (University of South Australia)
Each course consists of three units totalling between 4 and 6 hours. The material will be presented in lectures throughout the week.
The courses will also be attended by the participants of the DOE programme and thus provide an opportunity to get to know and interact with senior researchers. In addition, throughout the week attendees of the short courses will be welcome to attend theme days on application-driven design problems in the fields of genomics, computer experiments and clinical trials, though for these sessions, a higher level of background knowledge in design of experiments will be assumed.
Introduction of Application Areas
A1 Experiments in genomics and proteomics - T Speed (University of California at Berkeley), J Brenton (Cancer Research UK), J Griffin (University of Cambridge) and A Lynch (University of Cambridge)
A2 Computer Experiments - H Wynn (London School of Economics and Political Science) and P Challenor (National Oceanography Centre, Southampton)
A3 Clinical Trials - S Senn (University of Glasgow) and M Krams (Wyeth Pharmaceuticals)