报告名称：Identification of the minimum non-inferior dose in a three-arm non-inferiority trial

主办单位：湖北大学数学与统计学学院

报告专家：钟俊江

专家所在单位：厦门理工学院

报告时间：2020年11月04日13:00-14:00

报告地点：腾讯会议（会议ID：512 624 780）

专家简介：钟俊江，厦门理工学院应用数学系副教授。2017年获台湾地区成功大学统计学博士学位，后在香港中文大学统计系从事博士后研究，曾多次受邀赴香港中文大学进行学术访问。主要从事临床试验、生物医学统计等方面的研究工作，曾在《Statistics in Medicine》、《Statistical Methods in Medical Research》及其他国际统计SCI期刊上发表多篇论文。

报告摘要：The objective of a non-inferiority (NI) trial is to assert the efficacy of an experimental (new) treatment compared with a reference (standard) treatment by showing that the experimental treatment retains a substantial proportion of the efficacy of the reference treatment. The marginal loss of efficacy of adopting the experimental treatment has to be justified by its other benefits, such as the alleviation of side effects, reduction of costs, and introduction of less complicated regimens. Statistical methods have been developed for NI studies with multiple experimental treatments. However, experimental treatments sometimes represent a new treatment with various dose levels, and in such circumstances, identification of the minimum non-inferior dose is a reasonable objective of the trial. Thus, we examine several potential testing procedures with respect to this testing objective in this talk. A simulation study is conducted to evaluate their performance, and determination of the sample size is discussed. Two clinical examples are provided to illustrate the proposed

method.

邀请人：刘展

是否涉外：否