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|Title:||Statistical Inference of Covariate-adaptive Randomized Clinical Trials|
|Group/Series/Folder:||Record Group 8.15 - Institute for Advanced Study|
Series 3 - Audio-visual Materials
|Notes:||HKUST International Forum on Probability and Statistics. Talk no. 8.|
Title from slide title.
The Second HKUST International Forum on Probability and Statistics (2013), held 19 December, 2013, at the Hong Kong University of Science and Technology. Co-sponsored by the HKUST Jockey Club Institute for Advanced Study and the Center for Statistical Science.
Abstract: In a short period of time, advances in genetics have allowed scientists to identify genes (biomarkers) that are linked with certain diseases. To translate these great scientific findings into real-world products for those who need them, clinical trials play an essential and important role. To develop personalized medicine, covariate-adaptive randomized clinical trials should be implemented so that genetics information and other biomarkers can be incorporated in treatment selection. However, the properties of conventional statistical methods are not well studied in literature. In this talk, theoretical properties of conventional statistical methods are derived under general covariate-adaptive randomized clinical trials. Some further statistical issues are also discussed.
Duration: 23 min.
|Appears in Series:||8.15:3 - Audio-visual Materials|
Videos for Public -- Distinguished Lectures