May 21, 2020 Webinar
Statistical Multiplicity in Clinical Studies
Jiangtao Gou, PhD
Abstract:
Statistical multiplicity contributes to an increased frequency of type I errors. A good trial design of multiple testing procedures provides a proper control of the type I error rate due to a multiplicity of tests from difference sources and reduces the type II error rate at the same time. This presentation provides a concise overview of the development of multiple testing procedures over the last eighty-five years, discusses the validity of several common perceptions, and introduces a number of recent advances in multiple testing procedures.
Short Bio:
Dr. Jiangtao Gou is Assistant Professor of Mathematics and Statistics at Villanova University. His research mainly concerns development of statistical methods in experimental design, clinical trial, statistical computing and data mining.