Title (题目): Statistics in the Pharmaceutical Industry
Time (时间): 1pm-2pm, 2015-11-26 (Thursday)
Location (地点): 伟清楼209 (Center for Statistical Science, Tsinghua University)
Speaker (报告人): Shu Yang, Novartis Pharmaceuticals Corporation
Abstract (摘要):
This talk gives an overview of the process of drug development and how statistics is used in pharmaceutical industry. The unique statistical problems and techniques are discussed for each phase of the drug development. Specifically, for pre-clinical study, the problem of assay design and analysis of small sample size data are discussed; for phase I/II dose finding trials, designs using 3+3 or Bayesian Logistic Regression Model are discussed; for phase I clinical pharmacology trials, the use of mixed effect is discussed; for phase II/III trials, group sequential design and survival analysis are discussed. In addition, other popular statistical methods in pharmaceutical industry such as matching and statistical classification (subgrouping) are also discussed.
About the speaker (报告人介绍)
Shu Yang currently works as a senior principal statistician in Oncology department of Novartis Pharmaceuticals. She obtained her BS degree in applied math from Statistics department of School of Mathematics Science, and then obtained her MS degree in Signal Processing from Center of information science of Peking University. She obtained her PhD degree in Mathematics (Statistics concentration) from department of Mathematics and Statistics in Boston University.
Her PhD research direction is to model the high dimensional network data with statistical models, such as simultaneous Lasso regression, and Bayesian optimal design. Her current research interest is in modeling the drug exposure response data with mixed effect models and Bayesian hierarchical models.