Journal of Preventive Medicine

Comparison of three sample size estimation methods for noninferiority vaccine trials with multiple continuous co-primary endpoints

9^th Edition of International Conference on Preventive Medicine & Public Health
July 16-17, 2018 London, UK

Jiaying Yang, Jingxin Li, Shiyuan Wang, Li Luo and Pei Liu

Southeast University, China

Posters & Accepted Abstracts: J Prev Med

DOI: 10.21767/2572-5483-C1-003

Abstract

Combination vaccines have been extensively used for decades and bring together the issue of intersection-union. To make up for the reduction in statistical power at the study level, researchers have to increase the study sample size. In view of the nature of immunogenicity variables, we use the geometric mean concentration of immune response after vaccination as immunologic endpoint and compare three sample size calculation methods: the inflation factors method, the incrementing method and the Bonferroni correction method when there are multiple continuous co-primary endpoints. The parameters are set according to the actual situation of combination vaccines and the simulation results were used as reference. The present study demonstrates that the incrementing method, the Bonferroni corrected method and the inflation factors method are all available when the effect size of each endpoint is comparable and there is no or weak correlation between each endpoint. When there is a valid difference of effect sizes among endpoints, the incrementing method performs better.

Biography

E-mail:

yang_jy@foxmail.com