报告人： Ying Ding(University of Pittsburgh, USA)
地点：Tencent Meeting(979 3153 9451)
There has been growing interest in discovering precision medicine in modern drug development and biomedical research. One aspect of precision medicine is to develop new therapies that target a subgroup of patients who exhibit enhanced treatment efficacy through randomized controlled trials (RCTs). Another aspect is to tailor existing therapies to individual patients so that each patient can get the most suitable treatment. Motivated by analyzing two large RCTs to study the efficacy of nutritional supplements in delaying the progression of an eye disease, age-related macular degeneration (AMD), this talk will cover two recently developed statistical methods to address key issues in both aspects with survival type of outcomes: (1) a novel multiple-testing-based approach to simultaneously identify and infer subgroups with enhanced treatment efficacy in RCTs, and (2) a meta-learner framework to estimate heterogeneous treatment effects so that individualized treatment recommendation can be provided. Applications to the AMD studies with new findings will also be presented.
About the Speaker:
Dr. Ying Ding is an Associate Professor (tenured) at the Department of Biostatistics, University of Pittsburgh. She received her Ph.D. in Biostatistics from University of Michigan in 2010. Before joining University of Pittsburgh, Dr. Ding worked as a Senior Research Scientist at Eli Lilly and Company for three years, and her responsibilities at Lilly focused on Type II diabetes trials and tailored therapeutics. Dr. Ding’s current research interests include survival analysis, large-scale multi-omics data analysis, multiple comparisons, and precision medicine. Dr. Ding has a broad collaborative research which includes clinical trials, disease progression modeling and prediction for psychiatric disorders and aging-related diseases. Dr. Ding has published more than 60 manuscripts, one book, and four book chapters. Currently, Dr. Ding serves as ASA (American Statistical Association) Pittsburgh Chapter President, ASA Lifetime Data Science (LiDS) Section 2022 Program Chair-Elect, and ASA Statistical Partnership Across Academe, Industry & Government (SPAIG) Committee Vice Chair and Chair-Elect. She also serves as an Associate Editor for the journal Statistics in Medicine .
Tencent Meeting ID：979 3153 9451
Your participation is warmly welcomed!