Traditionally, factorial design is one of the most commonly used classes of experimental plans in scientific researches and induastrial processes. A hidden assumption behind these factorial designs is that the effect on the order of factor inputs is generally negligible, but it may not be true for all real-world scenarios, like the drug intakes in clinical trials. In order to incorporate order effects in experimental analyses, the order-of-addition (OofA) experiments has recently resurfaced among researchers in the design and analysis of experiments. This class of experiment aims to investigate how the different orders of factor inputs (e.g. medicine intakes) provide significant effects towards the response value, so that one can obtain the optimal order of factor inputs. This order-matter concept is useful not only in clinical trials but also in biochemistry, culinary, cosmetic industry, agriculture, and many industrial processes. The optimization of these factorial order effects leads to the best possible use of experimental resources. In this session, we gather leading experts to discuss the recent advances in the research of OofA experimental designs. Each of them introduce their own advancement to the design and analysis of OofA experiment in their presentation, so audiences can learn the design construction, design analysis, and its implementation to specific scientific problems from this session.
 

Traditionally, factorial design is one of the most commonly used classes of experimental plans in scientific researches and induastrial processes. A hidden assumption behind these factorial designs is that the effect on the order of factor inputs is generally negligible, but it may not be true for all real-world scenarios, like the drug intakes in clinical trials. In order to incorporate order effects in experimental analyses, the order-of-addition (OofA) experiments has recently resurfaced among researchers in the design and analysis of experiments. This class of experiments aims to investigate how the different orders of factor inputs (e.g. medicine intakes) provide significant effects towards the response value, so that one can obtain the optimal order of factor inputs. This order-matter concept is useful not only in clinical trials but also in biochemistry, culinary, cosmetic industry, agriculture, and many industrial processes. The optimization of these factorial order effects leads to the best possible use of experimental resources. In this session, we gather leading experts to discuss the recent advances in the research of OofA experimental designs. Each of them introduce their own advancement to the design and analysis of OofA experiment in their presentation, so audiences can learn the design construction, design analysis, and its implementation to specific scientific problems of audiences' interests.

Organiser: Mr Frederick Kin Hing Phoa 

Chair: Mr Frederick Kin Hing Phoa  

Speaker: Prof. Dennis Lin 

Speaker: Hongquan Xu 

Speaker: DRS Jing-Wen Huang 

Speaker: Dr Robert Mee