STATISTICS COLLOQUIUM
Qiqi Deng
Methodology Expert Statistician
Statistical Innovation and Therapeutic Area Methodology
Biometrics and Data Science
Boehringer Ingelheim Pharmaceutical
Dr. Deng is a Biostatistician at Boehringer Ingelheim Pharmaceutical. She is currently a member of the Methodology Expert team within global statistics, which focuses on statistical methodology innovation. Before she joined the methodology group, she has served as leading statistician for multiple projects, across different clinical development phases and therapeutic areas. Dr. Deng received her bachelor’s degree in Mathematics from Peking University in China, and obtained her Ph. D. in Statistics from University of Minnesota.
Story of alpha and Beta in Clinical trials
ABSTRACT
Alpha and Beta, also referred as type I error and type II error, is a critical concept in clinical trial design and interpretation of the results. In this talk, I will share with you how this concept is applied in modern drug development process, and why it is important. Many advanced statistical methodologies used in complicated clinical trials is essentially tackling this fundamental topic. Two types of clinical trial design, one using futility analysis at interim, another using seamless phase II/III design will be discussed to illustrate the idea.
DATE: Wednesday, January 27, 2016
TIME: 4:00 p.m. -5:00 p.m.
PLACE: Philip E. Austin Bldg., Rm. 313
Coffee will be served at 3:30 p.m. in the Noether Lounge (AUST 326)
For more information, contact: Tracy Burke at tracy.burke@uconn.edu