浙江理工大学数学科学系邀请报告
报告题目
A Flexible Micro-Randomized Trial Design and Sample Size Considerations
报告人：许菁博士（杜克新加坡国立大学）
报告时间：2023年12月13日周三下午14:00
腾讯会议链接：https://meeting.tencent.com/dm/5XPNxNA7xMbT
腾讯会议：337-548-083
报告摘要
Technological advancements have made it possible to deliver mobile health interventions to individuals. A novel framework that has emerged from such advancements is the just-in-time adaptive intervention (JITAI), which aims to suggest the right support to the individuals when their needs arise. The micro-randomized trial (MRT) design has been proposed recently to test the proximal effects of these JITAIs. However, the extant MRT framework only considers components with a fixed number of categories added at the beginning of the study. We propose a flexible MRT (FlexiMRT) design which allows the addition of more categories to the components during the study. The proposed design is motivated by collaboration on the DIAMANTE study, which learns to deliver text messages to encourage physical activity among patients with diabetes and depression. We developed a new test statistic and the corresponding sample size calculator for the FlexiMRT using an approach similar to the generalized estimating equation for longitudinal data.
报告人简介
Dr Jing Xu is a Research Assistant Professor of Biostatistics at Center for Quantitative Medicine, Duke-NUS Medical School, Singapore. He is working with Associate Professor Bibhas Chakraborty and their interest lies in flexible micro-randomized trial design and just-in-time adaptive interventions in mobile health.
Before joining Duke-NUS, Dr Xu was an Assistant Professor at Data Science Programme, Division of Science and Technology, Beijing Normal University-Hong Kong Baptist University United International college, Zhuhai, Guangdong, China. He also had prior experience as a biostatistician to support, proteomics and cancer studies at Children Medical Research Institute, Westmead, NSW, Australia, clinical trials at Singapore Clinical Research Institute, Singapore, neuroscience research at Memory, Ageing and Cognition Centre, National University of Singapore, Singapore, dementia research at Dementia Centre for Research Collaboration, The University of New South Wales, Australia.
Dr Xu had completed PhD in Statistics from Macquarie University, Australia. His research was about Cox hazard model estimation, under dependent censoring, using a maximum penalized likelihood method. The proposed method was applied to analyse a dementia dataset.
