|
Activity Number:
|
278
- Multi-Stage and Seamless Clinical Trials
|
|
Type:
|
Contributed
|
|
Date/Time:
|
Tuesday, August 9, 2022 : 10:30 AM to 12:20 PM
|
|
Sponsor:
|
Biopharmaceutical Section
|
|
Abstract #322516
|
|
|
Title:
|
Two-Stage Design for Selecting Among Treatments with Two-Dependent Binary Endpoints
|
|
Author(s):
|
Chishu Yin* and Pinyuen Chen
|
|
Companies:
|
Syracuse University and Syracuse University
|
|
Keywords:
|
binary endpoint;
correct selection;
safety and efficacy;
two-stage design
|
|
Abstract:
|
In clinical trials, sometimes we desire treatments to be both safe and efficient. In this paper, we propose a two-stage design for selecting the best treatment among k treatments and a control with respect to two binary endpoints: safety and efficacy. We apply exact multinomial distribution directly to formulate this two endpoints selection and comparison problem. The probability of a correct selection is derived and a table for the smallest sample size required to satisfy the probability requirements is included. An example is given to illustrate the proposed designs.
|
Authors who are presenting talks have a * after their name.
